{ "session_id": "20260518_024030_413176", "model": "MiniMax-M2.7", "base_url": "https://api.minimaxi.com/anthropic", "platform": "cli", "session_start": "2026-05-18T02:39:38.785247", "last_updated": "2026-05-18T02:43:18.796063", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nAfter completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.8.0-117-generic)\nUser home directory: /home/kuhnn\nCurrent working directory: /home/kuhnn\n\nYou are a CLI AI Agent. Try not to use markdown but simple text renderable inside a terminal. File delivery: there is no attachment channel — the user reads your response directly in their terminal. Do NOT emit MEDIA:/path tags (those are only intercepted on messaging platforms like Telegram, Discord, Slack, etc.; on the CLI they render as literal text). When referring to a file you created or changed, just state its absolute path in plain text; the user can open it from there.\n\nConversation started: Monday, May 18, 2026 02:40 AM\nModel: MiniMax-M2.7\nProvider: minimax-cn", "tools": [ { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } } ], "message_count": 41, "messages": [ { "role": "user", "content": "Read skills 1-40 (autonomous-ai-agents, creative categories): dogfood, yuanbao, claude-code, codex, hermes-agent, opencode, architecture-diagram, ascii-art, ascii-video, baoyu-comic, baoyu-infographic, claude-design, comfyui, design-md, excalidraw, humanizer, ideation, manim-video, p5js, pixel-art, popular-web-designs, pretext, sketch, songwriting-and-ai-music, touchdesigner-mcp, jupyter-live-kernel, kanban-orchestrator, kanban-worker, webhook-subscriptions, himalaya, minecraft-modpack-server, pokemon-player, codebase-inspection, github-auth, github-code-review, github-issues, github-pr-workflow, github-repo-management, native-mcp, gif-search, heartmula, songsee" }, { "role": "assistant", "content": "", "reasoning": "The user wants me to read all 40 skills listed and compile them with name, description, and tags. I'll need to use skill_view for each one. Let me start by loading them all in parallel batches.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to read all 40 skills listed and compile them with name, description, and tags. I'll need to use skill_view for each one. Let me start by loading them all in parallel batches.", "reasoning_details": [ { "signature": "0cc7f849c99e6e2cc81666b869412853168135686024ba9327442e575dfda8e4", "thinking": "The user wants me to read all 40 skills listed and compile them with name, description, and tags. I'll need to use skill_view for each one. Let me start by loading them all in parallel batches.", "type": "thinking" } ], "tool_calls": [ { "id": "call_function_7wwd137adnfq_1", "call_id": "call_function_7wwd137adnfq_1", "response_item_id": "fc_function_7wwd137adnfq_1", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"dogfood\"}" } }, { "id": "call_function_7wwd137adnfq_2", "call_id": "call_function_7wwd137adnfq_2", "response_item_id": "fc_function_7wwd137adnfq_2", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"yuanbao\"}" } }, { "id": "call_function_7wwd137adnfq_3", "call_id": "call_function_7wwd137adnfq_3", "response_item_id": "fc_function_7wwd137adnfq_3", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"claude-code\"}" } }, { "id": "call_function_7wwd137adnfq_4", "call_id": "call_function_7wwd137adnfq_4", "response_item_id": "fc_function_7wwd137adnfq_4", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"codex\"}" } }, { "id": "call_function_7wwd137adnfq_5", "call_id": "call_function_7wwd137adnfq_5", "response_item_id": "fc_function_7wwd137adnfq_5", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"hermes-agent\"}" } }, { "id": "call_function_7wwd137adnfq_6", "call_id": "call_function_7wwd137adnfq_6", "response_item_id": "fc_function_7wwd137adnfq_6", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"opencode\"}" } }, { "id": "call_function_7wwd137adnfq_7", "call_id": "call_function_7wwd137adnfq_7", "response_item_id": "fc_function_7wwd137adnfq_7", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"architecture-diagram\"}" } }, { "id": "call_function_7wwd137adnfq_8", "call_id": "call_function_7wwd137adnfq_8", "response_item_id": "fc_function_7wwd137adnfq_8", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"ascii-art\"}" } }, { "id": "call_function_7wwd137adnfq_9", "call_id": "call_function_7wwd137adnfq_9", "response_item_id": "fc_function_7wwd137adnfq_9", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"ascii-video\"}" } }, { "id": "call_function_7wwd137adnfq_10", "call_id": "call_function_7wwd137adnfq_10", "response_item_id": "fc_function_7wwd137adnfq_10", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"baoyu-comic\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=dogfood (7,329 chars)", "tool_call_id": "call_function_7wwd137adnfq_1" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=yuanbao (4,558 chars)", "tool_call_id": "call_function_7wwd137adnfq_2" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=claude-code (36,177 chars)", "tool_call_id": "call_function_7wwd137adnfq_3" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=codex (5,558 chars)", "tool_call_id": "call_function_7wwd137adnfq_4" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=hermes-agent (50,245 chars)", "tool_call_id": "call_function_7wwd137adnfq_5" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=opencode (8,442 chars)", "tool_call_id": "call_function_7wwd137adnfq_6" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=architecture-diagram (6,886 chars)", "tool_call_id": "call_function_7wwd137adnfq_7" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=ascii-art (11,650 chars)", "tool_call_id": "call_function_7wwd137adnfq_8" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=ascii-video (15,942 chars)", "tool_call_id": "call_function_7wwd137adnfq_9" }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=baoyu-comic (15,955 chars)", "tool_call_id": "call_function_7wwd137adnfq_10" }, { "role": "user", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nNone — the compacted turns only show the assistant loading skill documentation. No explicit user task was captured in this segment.\n\n## Goal\nThe assistant was exploring available skills/capabilities by viewing documentation for multiple tools and design systems.\n\n## Constraints & Preferences\nUser language preference: not specified in compacted turns.\n\n## Completed Actions\n1. VIEW baoyu-infographic skill documentation [tool: skill_view]\n2. VIEW claude-design skill documentation [tool: skill_view]\n3. VIEW comfyui skill documentation [tool: skill_view]\n4. VIEW design-md skill documentation [tool: skill_view]\n5. VIEW excalidraw skill documentation [tool: skill_view]\n6. VIEW humanizer skill documentation [tool: skill_view]\n7. VIEW ideation skill documentation [tool: skill_view]\n8. VIEW manim-video skill documentation [tool: skill_view]\n9. VIEW p5js skill documentation [tool: skill_view]\n10. VIEW pixel-art skill documentation [tool: skill_view]\n\n## Active State\nSkills documentation loaded:\n- baoyu-infographic: 11,585 chars\n- claude-design: 21,380 chars\n- comfyui: 26,418 chars\n- design-md: 8,343 chars\n- excalidraw: 8,850 chars\n- humanizer: 31,601 chars\n- ideation: 413 chars\n- manim-video: 13,471 chars\n- p5js: 29,389 chars\n- pixel-art: 508 chars\n\n## In Progress\nBulk skill documentation retrieval — all 10 skills loaded successfully.\n\n## Blocked\nNone observed in this segment.\n\n## Key Decisions\nNone made by user yet — only initial skill exploration occurred.\n\n## Resolved Questions\nNone — user questions not captured in this compaction segment.\n\n## Pending User Asks\nNone captured — original user messages not included in this compaction segment.\n\n## Relevant Files\nNo files accessed or modified — only skill documentation viewed.\n\n## Remaining Work\nAwait user instruction on what task to perform with these available skills.\n\n## Critical Context\n- Available skills span: infographics, design, AI image generation (ComfyUI), design documentation, whiteboard diagrams, content humanization, ideation, math animations, creative coding (p5.js), pixel art\n- Total skill documentation: ~140,000 characters loaded\n- No prior user task or conversation context preserved beyond this compaction\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---" }, { "role": "assistant", "content": "", "reasoning": "I need to load the remaining skills. Let me continue with the rest of the list. I still need to load:\n- pixel-art (need full path)\n- popular-web-designs\n- pretext\n- sketch\n- songwriting-and-ai-music\n- touchdesigner-mcp\n- jupyter-live-kernel\n- kanban-orchestrator\n- kanban-worker\n- webhook-subscriptions\n- himalaya\n- minecraft-modpack-server\n- pokemon-player\n- codebase-inspection\n- github-auth\n- github-code-review\n- github-issues\n- github-pr-workflow\n- github-repo-management\n- native-mcp\n- gif-search\n- heartmula\n- songsee\n\nAnd I notice that ideation skill returned an error. \n\nI'll go ahead and load all the remaining ones in parallel to get the full picture.", "finish_reason": "tool_calls", "reasoning_content": "I need to load the remaining skills. Let me continue with the rest of the list. I still need to load:\n- pixel-art (need full path)\n- popular-web-designs\n- pretext\n- sketch\n- songwriting-and-ai-music\n- touchdesigner-mcp\n- jupyter-live-kernel\n- kanban-orchestrator\n- kanban-worker\n- webhook-subscriptions\n- himalaya\n- minecraft-modpack-server\n- pokemon-player\n- codebase-inspection\n- github-auth\n- github-code-review\n- github-issues\n- github-pr-workflow\n- github-repo-management\n- native-mcp\n- gif-search\n- heartmula\n- songsee\n\nAnd I notice that ideation skill returned an error. \n\nI'll go ahead and load all the remaining ones in parallel to get the full picture.", "reasoning_details": [ { "signature": "2face675a4b8fdf8eed1fe5c503f4ebdb20776dd912d59d540237fa73e98137c", "thinking": "I need to load the remaining skills. Let me continue with the rest of the list. I still need to load:\n- pixel-art (need full path)\n- popular-web-designs\n- pretext\n- sketch\n- songwriting-and-ai-music\n- touchdesigner-mcp\n- jupyter-live-kernel\n- kanban-orchestrator\n- kanban-worker\n- webhook-subscriptions\n- himalaya\n- minecraft-modpack-server\n- pokemon-player\n- codebase-inspection\n- github-auth\n- github-code-review\n- github-issues\n- github-pr-workflow\n- github-repo-management\n- native-mcp\n- gif-search\n- heartmula\n- songsee\n\nAnd I notice that ideation skill returned an error. \n\nI'll go ahead and load all the remaining ones in parallel to get the full picture.", "type": "thinking" } ], "tool_calls": [ { "id": "call_function_482zhhlnflgr_1", "call_id": "call_function_482zhhlnflgr_1", "response_item_id": "fc_function_482zhhlnflgr_1", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"creative/pixel-art\"}" } }, { "id": "call_function_482zhhlnflgr_2", "call_id": "call_function_482zhhlnflgr_2", "response_item_id": "fc_function_482zhhlnflgr_2", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"popular-web-designs\"}" } }, { "id": "call_function_482zhhlnflgr_3", "call_id": "call_function_482zhhlnflgr_3", "response_item_id": "fc_function_482zhhlnflgr_3", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"pretext\"}" } }, { "id": "call_function_482zhhlnflgr_4", "call_id": "call_function_482zhhlnflgr_4", "response_item_id": "fc_function_482zhhlnflgr_4", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"sketch\"}" } }, { "id": "call_function_482zhhlnflgr_5", "call_id": "call_function_482zhhlnflgr_5", "response_item_id": "fc_function_482zhhlnflgr_5", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"songwriting-and-ai-music\"}" } }, { "id": "call_function_482zhhlnflgr_6", "call_id": "call_function_482zhhlnflgr_6", "response_item_id": "fc_function_482zhhlnflgr_6", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"touchdesigner-mcp\"}" } }, { "id": "call_function_482zhhlnflgr_7", "call_id": "call_function_482zhhlnflgr_7", "response_item_id": "fc_function_482zhhlnflgr_7", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"jupyter-live-kernel\"}" } }, { "id": "call_function_482zhhlnflgr_8", "call_id": "call_function_482zhhlnflgr_8", "response_item_id": "fc_function_482zhhlnflgr_8", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"kanban-orchestrator\"}" } }, { "id": "call_function_482zhhlnflgr_9", "call_id": "call_function_482zhhlnflgr_9", "response_item_id": "fc_function_482zhhlnflgr_9", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"kanban-worker\"}" } }, { "id": "call_function_482zhhlnflgr_10", "call_id": "call_function_482zhhlnflgr_10", "response_item_id": "fc_function_482zhhlnflgr_10", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"webhook-subscriptions\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "[skill_view] name=creative/pixel-art (9,012 chars)", "tool_call_id": "call_function_482zhhlnflgr_1" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"popular-web-designs\", \"description\": \"54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\", \"tags\": [\"design\", \"css\", \"html\", \"ui\", \"web-development\", \"design-systems\", \"templates\"], \"related_skills\": [], \"content\": \"---\\nname: popular-web-designs\\ndescription: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\\nversion: 1.0.0\\nauthor: Hermes Agent + Teknium (design systems sourced from VoltAgent/awesome-design-md)\\nlicense: MIT\\ntags: [design, css, html, ui, web-development, design-systems, templates]\\nplatforms: [linux, macos, windows]\\ntriggers:\\n - build a page that looks like\\n - make it look like stripe\\n - design like linear\\n - vercel style\\n - create a UI\\n - web design\\n - landing page\\n - dashboard design\\n - website styled like\\n---\\n\\n# Popular Web Designs\\n\\n54 real-world design systems ready for use when generating HTML/CSS. Each template captures a\\nsite's complete visual language: color palette, typography hierarchy, component styles, spacing\\nsystem, shadows, responsive behavior, and practical agent prompts with exact CSS values.\\n\\n## Related design skills\\n\\n- **`claude-design`** — use for the design *process and taste* (scoping a brief,\\n producing variants, verifying a local HTML artifact, avoiding AI-design slop).\\n Pair it with this skill when the user wants a thoughtfully-designed page styled\\n after a known brand: `claude-design` drives the workflow, this skill supplies\\n the visual vocabulary.\\n- **`design-md`** — use when the deliverable is a formal DESIGN.md token spec\\n file, not a rendered artifact.\\n\\n## How to Use\\n\\n1. Pick a design from the catalog below\\n2. Load it: `skill_view(name=\\\"popular-web-designs\\\", file_path=\\\"templates/.md\\\")`\\n3. Use the design tokens and component specs when generating HTML\\n4. Pair with the `generative-widgets` skill to serve the result via cloudflared tunnel\\n\\nEach template includes a **Hermes Implementation Notes** block at the top with:\\n- CDN font substitute and Google Fonts `` tag (ready to paste)\\n- CSS font-family stacks for primary and monospace\\n- Reminders to use `write_file` for HTML creation and `browser_vision` for verification\\n\\n## HTML Generation Pattern\\n\\n```html\\n\\n\\n\\n \\n \\n Page Title\\n \\n \\n \\n\\n\\n \\n\\n\\n```\\n\\nWrite the file with `write_file`, serve with the `generative-widgets` workflow (cloudflared tunnel),\\nand verify the result with `browser_vision` to confirm visual accuracy.\\n\\n## Font Substitution Reference\\n\\nMost sites use proprietary fonts unavailable via CDN. Each template maps to a Google Fonts\\nsubstitute that preserves the design's character. Common mappings:\\n\\n| Proprietary Font | CDN Substitute | Character |\\n|---|---|---|\\n| Geist / Geist Sans | Geist (on Google Fonts) | Geometric, compressed tracking |\\n| Geist Mono | Geist Mono (on Google Fonts) | Clean monospace, ligatures |\\n| sohne-var (Stripe) | Source Sans 3 | Light weight elegance |\\n| Berkeley Mono | JetBrains Mono | Technical monospace |\\n| Airbnb Cereal VF | DM Sans | Rounded, friendly geometric |\\n| Circular (Spotify) | DM Sans | Geometric, warm |\\n| figmaSans | Inter | Clean humanist |\\n| Pin Sans (Pinterest) | DM Sans | Friendly, rounded |\\n| NVIDIA-EMEA | Inter (or Arial system) | Industrial, clean |\\n| CoinbaseDisplay/Sans | DM Sans | Geometric, trustworthy |\\n| UberMove | DM Sans | Bold, tight |\\n| HashiCorp Sans | Inter | Enterprise, neutral |\\n| waldenburgNormal (Sanity) | Space Grotesk | Geometric, slightly condensed |\\n| IBM Plex Sans/Mono | IBM Plex Sans/Mono | Available on Google Fonts |\\n| Rubik (Sentry) | Rubik | Available on Google Fonts |\\n\\nWhen a template's CDN font matches the original (Inter, IBM Plex, Rubik, Geist), no\\nsubstitution loss occurs. When a substitute is used (DM Sans for Circular, Source Sans 3\\nfor sohne-var), follow the template's weight, size, and letter-spacing values closely —\\nthose carry more visual identity than the specific font face.\\n\\n## Design Catalog\\n\\n### AI & Machine Learning\\n\\n| Template | Site | Style |\\n|---|---|---|\\n| `claude.md` | Anthropic Claude | Warm terracotta accent, clean editorial layout |\\n| `cohere.md` | Cohere | Vibrant gradients, data-rich dashboard aesthetic |\\n| `elevenlabs.md` | ElevenLabs | Dark cinematic UI, audio-waveform aesthetics |\\n| `minimax.md` | Minimax | Bold dark interface with neon accents |\\n| `mistral.ai.md` | Mistral AI | French-engineered minimalism, purple-toned |\\n| `ollama.md` | Ollama | Terminal-first, monochrome simplicity |\\n| `opencode.ai.md` | OpenCode AI | Developer-centric dark theme, full monospace |\\n| `replicate.md` | Replicate | Clean white canvas, code-forward |\\n| `runwayml.md` | RunwayML | Cinematic dark UI, media-rich layout |\\n| `together.ai.md` | Together AI | Technical, blueprint-style design |\\n| `voltagent.md` | VoltAgent | Void-black canvas, emerald accent, terminal-native |\\n| `x.ai.md` | xAI | Stark monochrome, futuristic minimalism, full monospace |\\n\\n### Developer Tools & Platforms\\n\\n| Template | Site | Style |\\n|---|---|---|\\n| `cursor.md` | Cursor | Sleek dark interface, gradient accents |\\n| `expo.md` | Expo | Dark theme, tight letter-spacing, code-centric |\\n| `linear.app.md` | Linear | Ultra-minimal dark-mode, precise, purple accent |\\n| `lovable.md` | Lovable | Playful gradients, friendly dev aesthetic |\\n| `mintlify.md` | Mintlify | Clean, green-accented, reading-optimized |\\n| `posthog.md` | PostHog | Playful branding, developer-friendly dark UI |\\n| `raycast.md` | Raycast | Sleek dark chrome, vibrant gradient accents |\\n| `resend.md` | Resend | Minimal dark theme, monospace accents |\\n| `sentry.md` | Sentry | Dark dashboard, data-dense, pink-purple accent |\\n| `supabase.md` | Supabase | Dark emerald theme, code-first developer tool |\\n| `superhuman.md` | Superhuman | Premium dark UI, keyboard-first, purple glow |\\n| `vercel.md` | Vercel | Black and white precision, Geist font system |\\n| `warp.md` | Warp | Dark IDE-like interface, block-based command UI |\\n| `zapier.md` | Zapier | Warm orange, friendly illustration-driven |\\n\\n### Infrastructure & Cloud\\n\\n| Template | Site | Style |\\n|---|---|---|\\n| `clickhouse.md` | ClickHouse | Yellow-accented, technical documentation style |\\n| `composio.md` | Composio | Modern dark with colorful integration icons |\\n| `hashicorp.md` | HashiCorp | Enterprise-clean, black and white |\\n| `mongodb.md` | MongoDB | Green leaf branding, developer documentation focus |\\n| `sanity.md` | Sanity | Red accent, content-first editorial layout |\\n| `stripe.md` | Stripe | Signature purple gradients, weight-300 elegance |\\n\\n### Design & Productivity\\n\\n| Template | Site | Style |\\n|---|---|---|\\n| `airtable.md` | Airtable | Colorful, friendly, structured data aesthetic |\\n| `cal.md` | Cal.com | Clean neutral UI, developer-oriented simplicity |\\n| `clay.md` | Clay | Organic shapes, soft gradients, art-directed layout |\\n| `figma.md` | Figma | Vibrant multi-color, playful yet professional |\\n| `framer.md` | Framer | Bold black and blue, motion-first, design-forward |\\n| `intercom.md` | Intercom | Friendly blue palette, conversational UI patterns |\\n| `miro.md` | Miro | Bright yellow accent, infinite canvas aesthetic |\\n| `notion.md` | Notion | Warm minimalism, serif headings, soft surfaces |\\n| `pinterest.md` | Pinterest | Red accent, masonry grid, image-first layout |\\n| `webflow.md` | Webflow | Blue-accented, polished marketing site aesthetic |\\n\\n### Fintech & Crypto\\n\\n| Template | Site | Style |\\n|---|---|---|\\n| `coinbase.md` | Coinbase | Clean blue identity, trust-focused, institutional feel |\\n| `kraken.md` | Kraken | Purple-accented dark UI, data-dense dashboards |\\n| `revolut.md` | Revolut | Sleek dark interface, gradient cards, fintech precision |\\n| `wise.md` | Wise | Bright green accent, friendly and clear |\\n\\n### Enterprise & Consumer\\n\\n| Template | Site | Style |\\n|---|---|---|\\n| `airbnb.md` | Airbnb | Warm coral accent, photography-driven, rounded UI |\\n| `apple.md` | Apple | Premium white space, SF Pro, cinematic imagery |\\n| `bmw.md` | BMW | Dark premium surfaces, precise engineering aesthetic |\\n| `ibm.md` | IBM | Carbon design system, structured blue palette |\\n| `nvidia.md` | NVIDIA | Green-black energy, technical power aesthetic |\\n| `spacex.md` | SpaceX | Stark black and white, full-bleed imagery, futuristic |\\n| `spotify.md` | Spotify | Vibrant green on dark, bold type, album-art-driven |\\n| `uber.md` | Uber | Bold black and white, tight type, urban energy |\\n\\n## Choosing a Design\\n\\nMatch the design to the content:\\n\\n- **Developer tools / dashboards:** Linear, Vercel, Supabase, Raycast, Sentry\\n- **Documentation / content sites:** Mintlify, Notion, Sanity, MongoDB\\n- **Marketing / landing pages:** Stripe, Framer, Apple, SpaceX\\n- **Dark mode UIs:** Linear, Cursor, ElevenLabs, Warp, Superhuman\\n- **Light / clean UIs:** Vercel, Stripe, Notion, Cal.com, Replicate\\n- **Playful / friendly:** PostHog, Figma, Lovable, Zapier, Miro\\n- **Premium / luxury:** Apple, BMW, Stripe, Superhuman, Revolut\\n- **Data-dense / dashboards:** Sentry, Kraken, Cohere, ClickHouse\\n- **Monospace / terminal aesthetic:** Ollama, OpenCode, x.ai, VoltAgent\", \"path\": \"creative/popular-web-designs/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/creative/popular-web-designs\", \"linked_files\": {\"templates\": [\"templates/apple.md\", \"templates/replicate.md\", \"templates/nvidia.md\", \"templates/together.ai.md\", \"templates/miro.md\", \"templates/opencode.ai.md\", \"templates/mongodb.md\", \"templates/clay.md\", \"templates/posthog.md\", \"templates/mistral.ai.md\", \"templates/intercom.md\", \"templates/wise.md\", \"templates/stripe.md\", \"templates/vercel.md\", \"templates/claude.md\", \"templates/superhuman.md\", \"templates/composio.md\", \"templates/airtable.md\", \"templates/hashicorp.md\", \"templates/lovable.md\", \"templates/clickhouse.md\", \"templates/minimax.md\", \"templates/x.ai.md\", \"templates/framer.md\", \"templates/ollama.md\", \"templates/figma.md\", \"templates/webflow.md\", \"templates/airbnb.md\", \"templates/revolut.md\", \"templates/ibm.md\", \"templates/cohere.md\", \"templates/supabase.md\", \"templates/runwayml.md\", \"templates/kraken.md\", \"templates/pinterest.md\", \"templates/resend.md\", \"templates/bmw.md\", \"templates/sentry.md\", \"templates/spacex.md\", \"templates/zapier.md\", \"templates/notion.md\", \"templates/linear.app.md\", \"templates/uber.md\", \"templates/cal.md\", \"templates/spotify.md\", \"templates/cursor.md\", \"templates/coinbase.md\", \"templates/mintlify.md\", \"templates/warp.md\", \"templates/elevenlabs.md\", \"templates/raycast.md\", \"templates/voltagent.md\", \"templates/expo.md\", \"templates/sanity.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_function_482zhhlnflgr_2" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"pretext\", \"description\": \"Use when building creative browser demos with @chenglou/pretext — DOM-free text layout for ASCII art, typographic flow around obstacles, text-as-geometry games, kinetic typography, and text-powered generative art. Produces single-file HTML demos by default.\", \"tags\": [\"creative-coding\", \"typography\", \"pretext\", \"ascii-art\", \"canvas\", \"generative\", \"text-layout\", \"kinetic-typography\"], \"related_skills\": [\"p5js\", \"claude-design\", \"excalidraw\", \"architecture-diagram\"], \"content\": \"---\\nname: pretext\\ndescription: \\\"Use when building creative browser demos with @chenglou/pretext — DOM-free text layout for ASCII art, typographic flow around obstacles, text-as-geometry games, kinetic typography, and text-powered generative art. Produces single-file HTML demos by default.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [creative-coding, typography, pretext, ascii-art, canvas, generative, text-layout, kinetic-typography]\\n related_skills: [p5js, claude-design, excalidraw, architecture-diagram]\\n---\\n\\n# Pretext Creative Demos\\n\\n## Overview\\n\\n[`@chenglou/pretext`](https://github.com/chenglou/pretext) is a 15KB zero-dependency TypeScript library by Cheng Lou (React core, ReasonML, Midjourney) for **DOM-free multiline text measurement and layout**. It does one thing: given `(text, font, width)`, return the line breaks, per-line widths, per-grapheme positions, and total height — all via canvas measurement, no reflow.\\n\\nThat sounds like plumbing. It is not. Because it is fast and geometric, it is a **creative primitive**: you can reflow paragraphs around a moving sprite at 60fps, build games whose level geometry is made of real words, drive ASCII logos through prose, shatter text into particles with exact per-grapheme starting positions, or pack shrink-wrapped multiline UI without any `getBoundingClientRect` thrash.\\n\\nThis skill exists so Hermes can make **cool demos** with it — the kind people post to X. See `pretext.cool` and `chenglou.me/pretext` for the community demo corpus.\\n\\n## When to Use\\n\\nUse when the user asks for:\\n- A \\\"pretext demo\\\" / \\\"cool pretext thing\\\" / \\\"text-as-X\\\"\\n- Text flowing around a moving shape (hero sections, editorial layouts, animated long-form pages)\\n- ASCII-art effects using **real words or prose**, not monospace rasters\\n- Games where the playfield / obstacles / bricks are made of text (Tetris-from-letters, Breakout-of-prose)\\n- Kinetic typography with per-glyph physics (shatter, scatter, flock, flow)\\n- Typographic generative art, especially with non-Latin scripts or mixed scripts\\n- Multiline \\\"shrink-wrap\\\" UI (smallest container width that still fits the text)\\n- Anything that would require knowing line breaks *before* rendering\\n\\nDon't use for:\\n- Static SVG/HTML pages where CSS already solves layout — just use CSS\\n- Rich text editors, general inline formatting engines (pretext is intentionally narrow)\\n- Image → text (use `ascii-art` / `ascii-video` skills)\\n- Pure canvas generative art with no text role — use `p5js`\\n\\n## Creative Standard\\n\\nThis is visual art rendered in a browser. Pretext returns numbers; **you** draw the thing.\\n\\n- **Don't ship a \\\"hello world\\\" demo.** The `hello-orb-flow.html` template is the *starting* point. Every delivered demo must add intentional color, motion, composition, and one visual detail the user didn't ask for but will appreciate.\\n- **Dark backgrounds, warm cores, considered palette.** Classic amber-on-black (CRT / terminal) works, but so do cold-white-on-charcoal (editorial) and desaturated pastels (risograph). Pick one and commit.\\n- **Proportional fonts are the point.** Pretext's whole vibe is \\\"not monospaced\\\" — lean into it. Use Iowan Old Style, Inter, JetBrains Mono, Helvetica Neue, or a variable font. Never default sans.\\n- **Real source/text, not lorem ipsum.** The corpus should mean something. Short manifestos, poetry, real source code, a found text, the library's own README — never `lorem ipsum`.\\n- **First-paint excellence.** No loading states, no blank frames. The demo must look shippable the instant it opens.\\n\\n## Stack\\n\\nSingle self-contained HTML file per demo. No build step.\\n\\n| Layer | Tool | Purpose |\\n|-------|------|---------|\\n| Core | `@chenglou/pretext` via `esm.sh` CDN | Text measurement + line layout |\\n| Render | HTML5 Canvas 2D | Glyph rendering, per-frame composition |\\n| Segmentation | `Intl.Segmenter` (built-in) | Grapheme splitting for emoji / CJK / combining marks |\\n| Interaction | Raw DOM events | Mouse / touch / wheel — no framework |\\n\\n```html\\n\\n```\\n\\nPin the version. `@0.0.6` at time of writing — check [npm](https://www.npmjs.com/package/@chenglou/pretext) for the latest if demo behavior is off.\\n\\n## The Two Use Cases\\n\\nAlmost everything reduces to one of these two shapes. Learn both.\\n\\n### Use-case 1 — measure, then render with CSS/DOM\\n\\n```js\\nconst prepared = prepare(text, \\\"16px Inter\\\");\\nconst { height, lineCount } = layout(prepared, 320, 20);\\n```\\n\\nYou still let the browser draw the text. Pretext just tells you how tall the box will be at a given width, **without** a DOM read. Use for:\\n- Virtualized lists where rows contain wrapping text\\n- Masonry with precise card heights\\n- \\\"Does this label fit?\\\" dev-time checks\\n- Preventing layout shift when remote text loads\\n\\n**Keep `font` and `letterSpacing` exactly in sync with your CSS.** The canvas `ctx.font` format (e.g. `\\\"16px Inter\\\"`, `\\\"500 17px 'JetBrains Mono'\\\"`) must match the rendered CSS, or measurements drift.\\n\\n### Use-case 2 — measure *and* render yourself\\n\\n```js\\nconst prepared = prepareWithSegments(text, FONT);\\nconst { lines } = layoutWithLines(prepared, 320, 26);\\nfor (let i = 0; i < lines.length; i++) {\\n ctx.fillText(lines[i].text, 0, i * 26);\\n}\\n```\\n\\nThis is where the creative work lives. You own the drawing, so you can:\\n- Render to canvas, SVG, WebGL, or any coordinate system\\n- Substitute per-glyph transforms (rotation, jitter, scale, opacity)\\n- Use line metadata (width, grapheme positions) as geometry\\n\\nFor **variable-width-per-line** flow (text around a shape, text in a donut band, text in a non-rectangular column):\\n\\n```js\\nlet cursor = { segmentIndex: 0, graphemeIndex: 0 };\\nlet y = 0;\\nwhile (true) {\\n const lineWidth = widthAtY(y); // your function: how wide is the corridor at this y?\\n const range = layoutNextLineRange(prepared, cursor, lineWidth);\\n if (!range) break;\\n const line = materializeLineRange(prepared, range);\\n ctx.fillText(line.text, leftEdgeAtY(y), y);\\n cursor = range.end;\\n y += lineHeight;\\n}\\n```\\n\\nThis is the most important pattern in the whole library. It's what unlocks \\\"text flowing around a dragged sprite\\\" — the demo that went viral on X.\\n\\n### Helpers worth knowing\\n\\n- `measureLineStats(prepared, maxWidth)` → `{ lineCount, maxLineWidth }` — the widest line, i.e. multiline shrink-wrap width.\\n- `walkLineRanges(prepared, maxWidth, callback)` — iterate lines without allocating strings. Use for stats/physics over graphemes when you don't need the characters.\\n- `@chenglou/pretext/rich-inline` — the same system but for paragraphs mixing fonts / chips / mentions. Import from the subpath.\\n\\n## Demo Recipe Patterns\\n\\nThe community corpus (see `references/patterns.md`) clusters into a handful of strong patterns. Pick one and riff — don't invent a new category unless asked.\\n\\n| Pattern | Key API | Example idea |\\n|---|---|---|\\n| **Reflow around obstacle** | `layoutNextLineRange` + per-row width function | Editorial paragraph that parts around a dragged cursor sprite |\\n| **Text-as-geometry game** | `layoutWithLines` + per-line collision rects | Breakout where each brick is a measured word |\\n| **Shatter / particles** | `walkLineRanges` → per-grapheme (x,y) → physics | Sentence that explodes into letters on click |\\n| **ASCII obstacle typography** | `layoutNextLineRange` + measured per-row obstacle spans | Bitmap ASCII logo, shape morphs, and draggable wire objects that make text open around their actual geometry |\\n| **Editorial multi-column** | `layoutNextLineRange` per column + shared cursor | Animated magazine spread with pull quotes |\\n| **Kinetic type** | `layoutWithLines` + per-line transform over time | Star Wars crawl, wave, bounce, glitch |\\n| **Multiline shrink-wrap** | `measureLineStats` | Quote card that auto-sizes to its tightest container |\\n\\nSee `templates/donut-orbit.html` and `templates/hello-orb-flow.html` for working single-file starters.\\n\\n## Workflow\\n\\n1. **Pick a pattern** from the table above based on the user's brief.\\n2. **Start from a template**:\\n - `templates/hello-orb-flow.html` — text reflowing around a moving orb (reflow-around-obstacle pattern)\\n - `templates/donut-orbit.html` — advanced example: measured ASCII logo obstacles, draggable wire sphere/cube, morphing shape fields, selectable DOM text, and dev-only controls\\n - `write_file` to a new `.html` in `/tmp/` or the user's workspace.\\n3. **Swap the corpus** for something intentional to the brief. Real prose, 10-100 sentences, no lorem.\\n4. **Tune the aesthetic** — font, palette, composition, interaction. This is the work; don't skip it.\\n5. **Verify locally**:\\n ```sh\\n cd && python3 -m http.server 8765\\n # then open http://localhost:8765/.html\\n ```\\n6. **Check the console** — pretext will throw if `prepareWithSegments` is called with a bad font string; `Intl.Segmenter` is available in every modern browser.\\n7. **Show the user the file path**, not just the code — they want to open it.\\n\\n## Performance Notes\\n\\n- `prepare()` / `prepareWithSegments()` is the expensive call. Do it **once** per text+font pair. Cache the handle.\\n- On resize, only rerun `layout()` / `layoutWithLines()` — never re-prepare.\\n- For per-frame animations where text doesn't change but geometry does, `layoutNextLineRange` in a tight loop is cheap enough to do every frame at 60fps for normal-length paragraphs.\\n- When rendering ASCII masks per frame, keep a cell buffer (`Uint8Array`/typed arrays), derive measured per-row obstacle spans from the cells or projected geometry, merge spans, then feed those spans into `layoutNextLineRange` before drawing text.\\n- Keep visual animation and layout animation coupled. If a sphere morphs into a cube, tween both the rendered cell buffer and the obstacle spans with the same value; otherwise the demo looks painted-on instead of physically reflowed.\\n- For fades, prefer layer opacity over changing glyph intensity or obstacle scale. Put transient ASCII sprites on their own canvas and fade the canvas with CSS/GSAP opacity so geometry does not appear to shrink.\\n- Canvas `ctx.font` setting is surprisingly slow; set it **once** per frame if font doesn't vary, not per `fillText` call.\\n\\n## Common Pitfalls\\n\\n1. **Drifting CSS/canvas font strings.** `ctx.font = \\\"16px Inter\\\"` measured, but CSS says `font-family: Inter, sans-serif; font-size: 16px`. Fine *if* Inter loads. If Inter 404s, CSS falls back to sans-serif and measurements drift by 5-20%. Always `preload` the font or use a web-safe family.\\n\\n2. **Re-preparing inside the animation loop.** Only `layout*` is cheap. Re-calling `prepare` every frame will tank perf. Keep the prepared handle in module scope.\\n\\n3. **Forgetting `Intl.Segmenter` for grapheme splits.** Emoji, combining marks, CJK — `\\\"é\\\".split(\\\"\\\")` gives you two chars. Use `new Intl.Segmenter(undefined, { granularity: \\\"grapheme\\\" })` when sampling individual visible glyphs.\\n\\n4. **`break: 'never'` chips without `extraWidth`.** In `rich-inline`, if you use `break: 'never'` for an atomic chip/mention, you must also supply `extraWidth` for the pill padding — otherwise chip chrome overflows the container.\\n\\n5. **Using `@chenglou/pretext` from `unpkg` with TypeScript-only entry.** Use `esm.sh` — it compiles the TS exports to browser-ready ESM automatically. `unpkg` will 404 or serve raw TS.\\n\\n6. **Monospace fallbacks silently erasing the whole point.** Users seeing monospace-looking output often have a CSS `font-family` that fell through to `monospace`. Verify the actual rendered font via DevTools.\\n\\n7. **Skipping rows vs adjusting width** when flowing around a shape. If the corridor on this row is too narrow to fit a line, *skip the row* (`y += lineHeight; continue;`) rather than passing a tiny maxWidth to `layoutNextLineRange` — pretext will return one-grapheme lines that look broken.\\n\\n8. **Shipping a cold demo.** The default first-paint looks tutorial-grade. Add: vignette, subtle scanline, idle auto-motion, one carefully chosen interactive response (drag, hover, scroll, click). Without these, \\\"cool pretext demo\\\" lands as \\\"intern repro of the README.\\\"\\n\\n## Verification Checklist\\n\\n- [ ] Demo is a single self-contained `.html` file — opens by double-click or `python3 -m http.server`\\n- [ ] `@chenglou/pretext` imported via `esm.sh` with pinned version\\n- [ ] Corpus is real prose, not lorem ipsum, and matches the demo's concept\\n- [ ] Font string passed to `prepare` matches the CSS font exactly\\n- [ ] `prepare()` / `prepareWithSegments()` called once, not per frame\\n- [ ] Dark background + considered palette — not the default white canvas\\n- [ ] At least one interactive response (drag / hover / scroll / click) or idle auto-motion\\n- [ ] Tested locally with `python3 -m http.server` and confirmed no console errors\\n- [ ] 60fps on a mid-tier laptop (or graceful degradation documented)\\n- [ ] One \\\"extra mile\\\" detail the user didn't ask for\\n\\n## Reference: Community Demos\\n\\nClone these for inspiration / patterns (all MIT-ish, linked from [pretext.cool](https://www.pretext.cool/)):\\n\\n- **Pretext Breaker** — breakout with word-bricks — `github.com/rinesh/pretext-breaker`\\n- **Tetris × Pretext** — `github.com/shinichimochizuki/tetris-pretext`\\n- **Dragon animation** — `github.com/qtakmalay/PreTextExperiments`\\n- **Somnai editorial engine** — `github.com/somnai-dreams/pretext-demos`\\n- **Bad Apple!! ASCII** — `github.com/frmlinn/bad-apple-pretext`\\n- **Drag-sprite reflow** — `github.com/dokobot/pretext-demo`\\n- **Alarmy editorial clock** — `github.com/SmisLee/alarmy-pretext-demo`\\n\\nOfficial playground: [chenglou.me/pretext](https://chenglou.me/pretext/) — accordion, bubbles, dynamic-layout, editorial-engine, justification-comparison, masonry, markdown-chat, rich-note.\\n\", \"path\": \"creative/pretext/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/creative/pretext\", \"linked_files\": {\"references\": [\"references/patterns.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"creative-coding\", \"typography\", \"pretext\", \"ascii-art\", \"canvas\", \"generative\", \"text-layout\", \"kinetic-typography\"], \"related_skills\": [\"p5js\", \"claude-design\", \"excalidraw\", \"architecture-diagram\"]}}}", "tool_call_id": "call_function_482zhhlnflgr_3" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"sketch\", \"description\": \"Throwaway HTML mockups: 2-3 design variants to compare.\", \"tags\": [\"sketch\", \"mockup\", \"design\", \"ui\", \"prototype\", \"html\", \"variants\", \"exploration\", \"wireframe\", \"comparison\"], \"related_skills\": [\"spike\", \"claude-design\", \"popular-web-designs\", \"excalidraw\"], \"content\": \"---\\nname: sketch\\ndescription: \\\"Throwaway HTML mockups: 2-3 design variants to compare.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent (adapted from gsd-build/get-shit-done)\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [sketch, mockup, design, ui, prototype, html, variants, exploration, wireframe, comparison]\\n related_skills: [spike, claude-design, popular-web-designs, excalidraw]\\n---\\n\\n# Sketch\\n\\nUse this skill when the user wants to **see a design direction before committing** to one — exploring a UI/UX idea as disposable HTML mockups. The point is to generate 2-3 interactive variants so the user can compare visual directions side-by-side, not to produce shippable code.\\n\\nLoad this when the user says things like \\\"sketch this screen\\\", \\\"show me what X could look like\\\", \\\"compare layout A vs B\\\", \\\"give me 2-3 takes on this UI\\\", \\\"let me see some variants\\\", \\\"mockup this before I build\\\".\\n\\n## When NOT to use this\\n\\n- User wants a production component — use `claude-design` or build it properly\\n- User wants a polished one-off HTML artifact (landing page, deck) — `claude-design`\\n- User wants a diagram — `excalidraw`, `architecture-diagram`\\n- The design is already locked — just build it\\n\\n## If the user has the full GSD system installed\\n\\nIf `gsd-sketch` shows up as a sibling skill (installed via `npx get-shit-done-cc --hermes`), prefer **`gsd-sketch`** for the full workflow: persistent `.planning/sketches/` with MANIFEST, frontier mode analysis, consistency audits across past sketches, and integration with the rest of GSD. This skill is the lightweight standalone version — one-off sketching without the state machinery.\\n\\n## Core method\\n\\n```\\nintake → variants → head-to-head → pick winner (or iterate)\\n```\\n\\n### 1. Intake (skip if the user already gave you enough)\\n\\nBefore generating variants, get three things — one question at a time, not all at once:\\n\\n1. **Feel.** \\\"What should this feel like? Adjectives, emotions, a vibe.\\\" — *\\\"calm, editorial, like Linear\\\"* tells you more than *\\\"minimal\\\"*.\\n2. **References.** \\\"What apps, sites, or products capture the feel you're imagining?\\\" — actual references beat abstract descriptions.\\n3. **Core action.** \\\"What's the single most important thing a user does on this screen?\\\" — the variants should all serve this well; if they don't, they're just decoration.\\n\\nReflect each answer briefly before the next question. If the user already gave you all three upfront, skip straight to variants.\\n\\n### 2. Variants (2-3, never 1, rarely 4+)\\n\\nProduce **2-3 variants** in one go. Each variant is a complete, standalone HTML file. Don't describe variants — build them. The point is comparison.\\n\\nEach variant should take a **different design stance**, not different pixel values. Three good variant axes:\\n\\n- **Density:** compact / airy / ultra-dense (pick two contrasting poles)\\n- **Emphasis:** content-first / action-first / tool-first\\n- **Aesthetic:** editorial / utilitarian / playful\\n- **Layout:** single-column / sidebar / split-pane\\n- **Grounding:** card-based / bare-content / document-style\\n\\nPick one axis and pull apart from it. Two variants that differ only in accent color are wasted effort — the user can't distinguish them.\\n\\n**Variant naming:** describe the stance, not the number.\\n\\n```\\nsketches/\\n├── 001-calm-editorial/\\n│ ├── index.html\\n│ └── README.md\\n├── 001-utilitarian-dense/\\n│ ├── index.html\\n│ └── README.md\\n└── 001-playful-split/\\n ├── index.html\\n └── README.md\\n```\\n\\n### 3. Make them real HTML\\n\\nEach variant is a **single self-contained HTML file**:\\n\\n- Inline `\\n```\\n\\n### 4. Variant README\\n\\nEach variant's `README.md` answers:\\n\\n```markdown\\n## Variant: {stance name}\\n\\n### Design stance\\nOne sentence on the principle driving this variant.\\n\\n### Key choices\\n- Layout: ...\\n- Typography: ...\\n- Color: ...\\n- Interaction: ...\\n\\n### Trade-offs\\n- Strong at: ...\\n- Weak at: ...\\n\\n### Best for\\n- The kind of user or use case this variant actually serves\\n```\\n\\n### 5. Head-to-head\\n\\nAfter all variants are built, present them as a comparison. Don't just list — **opinionate**:\\n\\n```markdown\\n## Three takes on the home screen\\n\\n| Dimension | Calm editorial | Utilitarian dense | Playful split |\\n|-----------|----------------|-------------------|---------------|\\n| Density | Low | High | Medium |\\n| Primary action visibility | Low | High | Medium |\\n| Scan-ability | High | Medium | Low |\\n| Feel | Calm, trusted | Sharp, tool-like | Inviting, energetic |\\n\\n**My take:** Utilitarian dense for power users, calm editorial for content-forward audiences. Playful split is weakest — tries to do both and commits to neither.\\n```\\n\\nLet the user pick a winner, or combine two into a hybrid, or ask for another round.\\n\\n## Theming (when the project has a visual identity)\\n\\nIf the user has an existing theme (colors, fonts, tokens), put shared tokens in `sketches/themes/tokens.css` and `@import` them in each variant. Keep tokens minimal:\\n\\n```css\\n/* sketches/themes/tokens.css */\\n:root {\\n --color-bg: #fafafa;\\n --color-fg: #1a1a1a;\\n --color-accent: #0066ff;\\n --color-muted: #666;\\n --radius: 8px;\\n --font-display: \\\"Inter\\\", sans-serif;\\n --font-body: -apple-system, BlinkMacSystemFont, sans-serif;\\n}\\n```\\n\\nDon't over-tokenize a throwaway sketch — three colors and one font is usually enough.\\n\\n## Interactivity bar\\n\\nA sketch is interactive enough when the user can:\\n\\n1. **Click a primary action** and something visible happens (state change, modal, toast, navigation feint)\\n2. **See one meaningful state transition** (filter a list, toggle a mode, open/close a panel)\\n3. **Hover recognizable affordances** (buttons, rows, tabs)\\n\\nMore than that is over-engineering a throwaway. Less than that is a screenshot.\\n\\n## Frontier mode (picking what to sketch next)\\n\\nIf sketches already exist and the user says \\\"what should I sketch next?\\\":\\n\\n- **Consistency gaps** — two winning variants from different sketches made independent choices that haven't been composed together yet\\n- **Unsketched screens** — referenced but never explored\\n- **State coverage** — happy path sketched, but not empty / loading / error / 1000-items\\n- **Responsive gaps** — validated at one viewport; does it hold at mobile / ultrawide?\\n- **Interaction patterns** — static layouts exist; transitions, drag, scroll behavior don't\\n\\nPropose 2-4 named candidates. Let the user pick.\\n\\n## Output\\n\\n- Create `sketches/` (or `.planning/sketches/` if the user is using GSD conventions) in the repo root\\n- One subdir per variant: `NNN-stance-name/index.html` + `README.md`\\n- Tell the user how to open them: `open sketches/001-calm-editorial/index.html` on macOS, `xdg-open` on Linux, `start` on Windows\\n- Keep variants disposable — a sketch that you felt the need to preserve should be promoted into real project code, not curated as an asset\\n\\n**Typical tool sequence for one variant:**\\n\\n```\\nterminal(\\\"mkdir -p sketches/001-calm-editorial\\\")\\nwrite_file(\\\"sketches/001-calm-editorial/index.html\\\", \\\"...\\\")\\nwrite_file(\\\"sketches/001-calm-editorial/README.md\\\", \\\"## Variant: Calm editorial\\\\n...\\\")\\nbrowser_navigate(url=\\\"file://$(pwd)/sketches/001-calm-editorial/index.html\\\")\\nbrowser_vision(question=\\\"How does this look? Any obvious layout issues?\\\")\\n```\\n\\nRepeat for each variant, then present the comparison table.\\n\\n## Attribution\\n\\nAdapted from the GSD (Get Shit Done) project's `/gsd-sketch` workflow — MIT © 2025 Lex Christopherson ([gsd-build/get-shit-done](https://github.com/gsd-build/get-shit-done)). The full GSD system ships persistent sketch state, theme/variant pattern references, and consistency-audit workflows; install with `npx get-shit-done-cc --hermes --global`.\\n\", \"path\": \"creative/sketch/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/creative/sketch\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"sketch\", \"mockup\", \"design\", \"ui\", \"prototype\", \"html\", \"variants\", \"exploration\", \"wireframe\", \"comparison\"], \"related_skills\": [\"spike\", \"claude-design\", \"popular-web-designs\", \"excalidraw\"]}}}", "tool_call_id": "call_function_482zhhlnflgr_4" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"songwriting-and-ai-music\", \"description\": \"Songwriting craft and Suno AI music prompts.\", \"tags\": [\"songwriting\", \"music\", \"suno\", \"parody\", \"lyrics\", \"creative\"], \"related_skills\": [], \"content\": \"---\\nname: songwriting-and-ai-music\\ndescription: \\\"Songwriting craft and Suno AI music prompts.\\\"\\ntags: [songwriting, music, suno, parody, lyrics, creative]\\nplatforms: [linux, macos, windows]\\ntriggers:\\n - writing a song\\n - song lyrics\\n - music prompt\\n - suno prompt\\n - parody song\\n - adapting a song\\n - AI music generation\\n---\\n\\n# Songwriting & AI Music Generation\\n\\nEverything here is a GUIDELINE, not a rule. Art breaks rules on purpose.\\nUse what serves the song. Ignore what doesn't.\\n\\n---\\n\\n## 1. Song Structure (Pick One or Invent Your Own)\\n\\nCommon skeletons — mix, modify, or throw out as needed:\\n\\n```\\nABABCB Verse/Chorus/Verse/Chorus/Bridge/Chorus (most pop/rock)\\nAABA Verse/Verse/Bridge/Verse (refrain-based) (jazz standards, ballads)\\nABAB Verse/Chorus alternating (simple, direct)\\nAAA Verse/Verse/Verse (strophic, no chorus) (folk, storytelling)\\n```\\n\\nThe six building blocks:\\n- Intro — set the mood, pull the listener in\\n- Verse — the story, the details, the world-building\\n- Pre-Chorus — optional tension ramp before the payoff\\n- Chorus — the emotional core, the part people remember\\n- Bridge — a detour, a shift in perspective or key\\n- Outro — the farewell, can echo or subvert the rest\\n\\nYou don't need all of these. Some great songs are just one section\\nthat evolves. Structure serves the emotion, not the other way around.\\n\\n---\\n\\n## 2. Rhyme, Meter, and Sound\\n\\nRHYME TYPES (from tight to loose):\\n- Perfect: lean/mean\\n- Family: crate/braid\\n- Assonance: had/glass (same vowels, different endings)\\n- Consonance: scene/when (different vowels, similar endings)\\n- Near/slant: enough to suggest connection without locking it down\\n\\nMix them. All perfect rhymes can sound like a nursery rhyme.\\nAll slant rhymes can sound lazy. The blend is where it lives.\\n\\nINTERNAL RHYME: Rhyming within a line, not just at the ends.\\n \\\"We pruned the lies from bleeding trees / Distilled the storm\\n from entropy\\\" — \\\"lies/flies,\\\" \\\"trees/entropy\\\" create internal echoes.\\n\\nMETER: The rhythm of stressed vs unstressed syllables.\\n- Matching syllable counts between parallel lines helps singability\\n- The STRESSED syllables matter more than total count\\n- Say it out loud. If you stumble, the meter needs work.\\n- Intentionally breaking meter can create emphasis or surprise\\n\\n---\\n\\n## 3. Emotional Arc and Dynamics\\n\\nThink of a song as a journey, not a flat road.\\n\\nENERGY MAPPING (rough idea, not prescription):\\n Intro: 2-3 | Verse: 5-6 | Pre-Chorus: 7\\n Chorus: 8-9 | Bridge: varies | Final Chorus: 9-10\\n\\nThe most powerful dynamic trick: CONTRAST.\\n- Whisper before a scream hits harder than just screaming\\n- Sparse before dense. Slow before fast. Low before high.\\n- The drop only works because of the buildup\\n- Silence is an instrument\\n\\n\\\"Whisper to roar to whisper\\\" — start intimate, build to full power,\\nstrip back to vulnerability. Works for ballads, epics, anthems.\\n\\n---\\n\\n## 4. Writing Lyrics That Work\\n\\nSHOW, DON'T TELL (usually):\\n- \\\"I was sad\\\" = flat\\n- \\\"Your hoodie's still on the hook by the door\\\" = alive\\n- But sometimes \\\"I give my life\\\" said plainly IS the power\\n\\nTHE HOOK:\\n- The line people remember, hum, repeat\\n- Usually the title or core phrase\\n- Works best when melody + lyric + emotion all align\\n- Place it where it lands hardest (often first/last line of chorus)\\n\\nPROSODY — lyrics and music supporting each other:\\n- Stable feelings (resolution, peace) pair with settled melodies,\\n perfect rhymes, resolved chords\\n- Unstable feelings (longing, doubt) pair with wandering melodies,\\n near-rhymes, unresolved chords\\n- Verse melody typically sits lower, chorus goes higher\\n- But flip this if it serves the song\\n\\nAVOID (unless you're doing it on purpose):\\n- Cliches on autopilot (\\\"heart of gold\\\" without earning it)\\n- Forcing word order to hit a rhyme (\\\"Yoda-speak\\\")\\n- Same energy in every section (flat dynamics)\\n- Treating your first draft as sacred — revision is creation\\n\\n---\\n\\n## 5. Parody and Adaptation\\n\\nWhen rewriting an existing song with new lyrics:\\n\\nTHE SKELETON: Map the original's structure first.\\n- Count syllables per line\\n- Mark the rhyme scheme (ABAB, AABB, etc.)\\n- Identify which syllables are STRESSED\\n- Note where held/sustained notes fall\\n\\nFITTING NEW WORDS:\\n- Match stressed syllables to the same beats as the original\\n- Total syllable count can flex by 1-2 unstressed syllables\\n- On long held notes, try to match the VOWEL SOUND of the original\\n (if original holds \\\"LOOOVE\\\" with an \\\"oo\\\" vowel, \\\"FOOOD\\\" fits\\n better than \\\"LIFE\\\")\\n- Monosyllabic swaps in key spots keep rhythm intact\\n (Crime -> Code, Snake -> Noose)\\n- Sing your new words over the original — if you stumble, revise\\n\\nCONCEPT:\\n- Pick a concept strong enough to sustain the whole song\\n- Start from the title/hook and build outward\\n- Generate lots of raw material (puns, phrases, images) FIRST,\\n then fit the best ones into the structure\\n- If you need a specific line somewhere, reverse-engineer the\\n rhyme scheme backward to set it up\\n\\nKEEP SOME ORIGINALS: Leaving a few original lines or structures\\nintact adds recognizability and lets the audience feel the connection.\\n\\n---\\n\\n## 6. Suno AI Prompt Engineering\\n\\n### Style/Genre Description Field\\n\\nFORMULA (adapt as needed):\\n Genre + Mood + Era + Instruments + Vocal Style + Production + Dynamics\\n\\n```\\nBAD: \\\"sad rock song\\\"\\nGOOD: \\\"Cinematic orchestral spy thriller, 1960s Cold War era, smoky\\n sultry female vocalist, big band jazz, brass section with\\n trumpets and french horns, sweeping strings, minor key,\\n vintage analog warmth\\\"\\n```\\n\\nDESCRIBE THE JOURNEY, not just the genre:\\n```\\n\\\"Begins as a haunting whisper over sparse piano. Gradually layers\\n in muted brass. Builds through the chorus with full orchestra.\\n Second verse erupts with raw belting intensity. Outro strips back\\n to a lone piano and a fragile whisper fading to silence.\\\"\\n```\\n\\nTIPS:\\n- V4.5+ supports up to 1,000 chars in Style field — use them\\n- NO artist names or trademarks. Describe the sound instead.\\n \\\"1960s Cold War spy thriller brass\\\" not \\\"James Bond style\\\"\\n \\\"90s grunge\\\" not \\\"Nirvana-style\\\"\\n- Specify BPM and key when you have a preference\\n- Use Exclude Styles field for what you DON'T want\\n- Unexpected genre combos can be gold: \\\"bossa nova trap\\\",\\n \\\"Appalachian gothic\\\", \\\"chiptune jazz\\\"\\n- Build a vocal PERSONA, not just a gender:\\n \\\"A weathered torch singer with a smoky alto, slight rasp,\\n who starts vulnerable and builds to devastating power\\\"\\n\\n### Metatags (place in [brackets] inside lyrics field)\\n\\nSTRUCTURE:\\n [Intro] [Verse] [Verse 1] [Pre-Chorus] [Chorus]\\n [Post-Chorus] [Hook] [Bridge] [Interlude]\\n [Instrumental] [Instrumental Break] [Guitar Solo]\\n [Breakdown] [Build-up] [Outro] [Silence] [End]\\n\\nVOCAL PERFORMANCE:\\n [Whispered] [Spoken Word] [Belted] [Falsetto] [Powerful]\\n [Soulful] [Raspy] [Breathy] [Smooth] [Gritty]\\n [Staccato] [Legato] [Vibrato] [Melismatic]\\n [Harmonies] [Choir] [Harmonized Chorus]\\n\\nDYNAMICS:\\n [High Energy] [Low Energy] [Building Energy] [Explosive]\\n [Emotional Climax] [Gradual swell] [Orchestral swell]\\n [Quiet arrangement] [Falling tension] [Slow Down]\\n\\nGENDER:\\n [Female Vocals] [Male Vocals]\\n\\nATMOSPHERE:\\n [Melancholic] [Euphoric] [Nostalgic] [Aggressive]\\n [Dreamy] [Intimate] [Dark Atmosphere]\\n\\nSFX:\\n [Vinyl Crackle] [Rain] [Applause] [Static] [Thunder]\\n\\nPut tags in BOTH style field AND lyrics for reinforcement.\\nKeep to 5-8 tags per section max — too many confuses the AI.\\nDon't contradict yourself ([Calm] + [Aggressive] in same section).\\n\\n### Custom Mode\\n- Always use Custom Mode for serious work (separate Style + Lyrics)\\n- Lyrics field limit: ~3,000 chars (~40-60 lines)\\n- Always add structural tags — without them Suno defaults to\\n flat verse/chorus/verse with no emotional arc\\n\\n---\\n\\n## 7. Phonetic Tricks for AI Singers\\n\\nAI vocalists don't read — they pronounce. Help them:\\n\\nPHONETIC RESPELLING:\\n- Spell words as they SOUND: \\\"through\\\" -> \\\"thru\\\"\\n- Proper nouns are highest failure rate — test early\\n- \\\"Nous\\\" -> \\\"Noose\\\" (forces correct pronunciation)\\n- Hyphenate to guide syllables: \\\"Re-search\\\", \\\"bio-engineering\\\"\\n\\nDELIVERY CONTROL:\\n- ALL CAPS = louder, more intense\\n- Vowel extension: \\\"lo-o-o-ove\\\" = sustained/melisma\\n- Ellipses: \\\"I... need... you\\\" = dramatic pauses\\n- Hyphenated stretch: \\\"ne-e-ed\\\" = emotional stretch\\n\\nALWAYS:\\n- Spell out numbers: \\\"24/7\\\" -> \\\"twenty four seven\\\"\\n- Space acronyms: \\\"AI\\\" -> \\\"A I\\\" or \\\"A-I\\\"\\n- Test proper nouns/unusual words in a short 30-second clip first\\n- Once generated, pronunciation is baked in — fix in lyrics BEFORE\\n\\n---\\n\\n## 8. Workflow\\n\\n1. Write the concept/hook first — what's the emotional core?\\n2. If adapting, map the original structure (syllables, rhyme, stress)\\n3. Generate raw material — brainstorm freely before structuring\\n4. Draft lyrics into the structure\\n5. Read/sing aloud — catch stumbles, fix meter\\n6. Build the Suno style description — paint the dynamic journey\\n7. Add metatags to lyrics for performance direction\\n8. Generate 3-5 variations minimum — treat them like recording takes\\n9. Pick the best, use Extend/Continue to build on promising sections\\n10. If something great happens by accident, keep it\\n\\nEXPECT: ~3-5 generations per 1 good result. Revision is normal.\\nStyle can drift in extensions — restate genre/mood when extending.\\n\\n---\\n\\n## 9. Lessons Learned\\n\\n- Describing the dynamic ARC in the style field matters way more\\n than just listing genres. \\\"Whisper to roar to whisper\\\" gives\\n Suno a performance map.\\n- Keeping some original lines intact in a parody adds recognizability\\n and emotional weight — the audience feels the ghost of the original.\\n- The bridge slot in a song is where you can transform imagery.\\n Swap the original's specific references for your theme's metaphors\\n while keeping the emotional function (reflection, shift, revelation).\\n- Monosyllabic word swaps in hooks/tags are the cleanest way to\\n maintain rhythm while changing meaning.\\n- A strong vocal persona description in the style field makes a\\n bigger difference than any single metatag.\\n- Don't be precious about rules. If a line breaks meter but hits\\n harder, keep it. The feeling is what matters. Craft serves art,\\n not the other way around.\\n\", \"path\": \"creative/songwriting-and-ai-music/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/creative/songwriting-and-ai-music\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_function_482zhhlnflgr_5" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"touchdesigner-mcp\", \"description\": \"Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.\", \"tags\": [\"TouchDesigner\", \"MCP\", \"twozero\", \"creative-coding\", \"real-time-visuals\", \"generative-art\", \"audio-reactive\", \"VJ\", \"installation\", \"GLSL\"], \"related_skills\": [\"native-mcp\", \"ascii-video\", \"manim-video\", \"hermes-video\"], \"content\": \"---\\nname: touchdesigner-mcp\\ndescription: \\\"Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.\\\"\\nversion: 1.1.0\\nauthor: kshitijk4poor\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [TouchDesigner, MCP, twozero, creative-coding, real-time-visuals, generative-art, audio-reactive, VJ, installation, GLSL]\\n related_skills: [native-mcp, ascii-video, manim-video, hermes-video]\\n\\n---\\n\\n# TouchDesigner Integration (twozero MCP)\\n\\n## CRITICAL RULES\\n\\n1. **NEVER guess parameter names.** Call `td_get_par_info` for the op type FIRST. Your training data is wrong for TD 2025.32.\\n2. **If `tdAttributeError` fires, STOP.** Call `td_get_operator_info` on the failing node before continuing.\\n3. **NEVER hardcode absolute paths** in script callbacks. Use `me.parent()` / `scriptOp.parent()`.\\n4. **Prefer native MCP tools over td_execute_python.** Use `td_create_operator`, `td_set_operator_pars`, `td_get_errors` etc. Only fall back to `td_execute_python` for complex multi-step logic.\\n5. **Call `td_get_hints` before building.** It returns patterns specific to the op type you're working with.\\n\\n## Architecture\\n\\n```\\nHermes Agent -> MCP (Streamable HTTP) -> twozero.tox (port 40404) -> TD Python\\n```\\n\\n36 native tools. Free plugin (no payment/license — confirmed April 2026).\\nContext-aware (knows selected OP, current network).\\nHub health check: `GET http://localhost:40404/mcp` returns JSON with instance PID, project name, TD version.\\n\\n## Setup (Automated)\\n\\nRun the setup script to handle everything:\\n\\n```bash\\nbash \\\"${HERMES_HOME:-$HOME/.hermes}/skills/creative/touchdesigner-mcp/scripts/setup.sh\\\"\\n```\\n\\nThe script will:\\n1. Check if TD is running\\n2. Download twozero.tox if not already cached\\n3. Add `twozero_td` MCP server to Hermes config (if missing)\\n4. Test the MCP connection on port 40404\\n5. Report what manual steps remain (drag .tox into TD, enable MCP toggle)\\n\\n### Manual steps (one-time, cannot be automated)\\n\\n1. **Drag `~/Downloads/twozero.tox` into the TD network editor** → click Install\\n2. **Enable MCP:** click twozero icon → Settings → mcp → \\\"auto start MCP\\\" → Yes\\n3. **Restart Hermes session** to pick up the new MCP server\\n\\nAfter setup, verify:\\n```bash\\nnc -z 127.0.0.1 40404 && echo \\\"twozero MCP: READY\\\"\\n```\\n\\n## Environment Notes\\n\\n- **Non-Commercial TD** caps resolution at 1280×1280. Use `outputresolution = 'custom'` and set width/height explicitly.\\n- **Codecs:** `prores` (preferred on macOS) or `mjpa` as fallback. H.264/H.265/AV1 require a Commercial license.\\n- Always call `td_get_par_info` before setting params — names vary by TD version (see CRITICAL RULES #1).\\n\\n## Workflow\\n\\n### Step 0: Discover (before building anything)\\n\\n```\\nCall td_get_par_info with op_type for each type you plan to use.\\nCall td_get_hints with the topic you're building (e.g. \\\"glsl\\\", \\\"audio reactive\\\", \\\"feedback\\\").\\nCall td_get_focus to see where the user is and what's selected.\\nCall td_get_network to see what already exists.\\n```\\n\\nNo temp nodes, no cleanup. This replaces the old discovery dance entirely.\\n\\n### Step 1: Clean + Build\\n\\n**IMPORTANT: Split cleanup and creation into SEPARATE MCP calls.** Destroying and recreating same-named nodes in one `td_execute_python` script causes \\\"Invalid OP object\\\" errors. See pitfalls #11b.\\n\\nUse `td_create_operator` for each node (handles viewport positioning automatically):\\n\\n```\\ntd_create_operator(type=\\\"noiseTOP\\\", parent=\\\"/project1\\\", name=\\\"bg\\\", parameters={\\\"resolutionw\\\": 1280, \\\"resolutionh\\\": 720})\\ntd_create_operator(type=\\\"levelTOP\\\", parent=\\\"/project1\\\", name=\\\"brightness\\\")\\ntd_create_operator(type=\\\"nullTOP\\\", parent=\\\"/project1\\\", name=\\\"out\\\")\\n```\\n\\nFor bulk creation or wiring, use `td_execute_python`:\\n\\n```python\\n# td_execute_python script:\\nroot = op('/project1')\\nnodes = []\\nfor name, optype in [('bg', noiseTOP), ('fx', levelTOP), ('out', nullTOP)]:\\n n = root.create(optype, name)\\n nodes.append(n.path)\\n# Wire chain\\nfor i in range(len(nodes)-1):\\n op(nodes[i]).outputConnectors[0].connect(op(nodes[i+1]).inputConnectors[0])\\nresult = {'created': nodes}\\n```\\n\\n### Step 2: Set Parameters\\n\\nPrefer the native tool (validates params, won't crash):\\n\\n```\\ntd_set_operator_pars(path=\\\"/project1/bg\\\", parameters={\\\"roughness\\\": 0.6, \\\"monochrome\\\": true})\\n```\\n\\nFor expressions or modes, use `td_execute_python`:\\n\\n```python\\nop('/project1/time_driver').par.colorr.expr = \\\"absTime.seconds % 1000.0\\\"\\n```\\n\\n### Step 3: Wire\\n\\nUse `td_execute_python` — no native wire tool exists:\\n\\n```python\\nop('/project1/bg').outputConnectors[0].connect(op('/project1/fx').inputConnectors[0])\\n```\\n\\n### Step 4: Verify\\n\\n```\\ntd_get_errors(path=\\\"/project1\\\", recursive=true)\\ntd_get_perf()\\ntd_get_operator_info(path=\\\"/project1/out\\\", detail=\\\"full\\\")\\n```\\n\\n### Step 5: Display / Capture\\n\\n```\\ntd_get_screenshot(path=\\\"/project1/out\\\")\\n```\\n\\nOr open a window via script:\\n\\n```python\\nwin = op('/project1').create(windowCOMP, 'display')\\nwin.par.winop = op('/project1/out').path\\nwin.par.winw = 1280; win.par.winh = 720\\nwin.par.winopen.pulse()\\n```\\n\\n## MCP Tool Quick Reference\\n\\n**Core (use these most):**\\n| Tool | What |\\n|------|------|\\n| `td_execute_python` | Run arbitrary Python in TD. Full API access. |\\n| `td_create_operator` | Create node with params + auto-positioning |\\n| `td_set_operator_pars` | Set params safely (validates, won't crash) |\\n| `td_get_operator_info` | Inspect one node: connections, params, errors |\\n| `td_get_operators_info` | Inspect multiple nodes in one call |\\n| `td_get_network` | See network structure at a path |\\n| `td_get_errors` | Find errors/warnings recursively |\\n| `td_get_par_info` | Get param names for an OP type (replaces discovery) |\\n| `td_get_hints` | Get patterns/tips before building |\\n| `td_get_focus` | What network is open, what's selected |\\n\\n**Read/Write:**\\n| Tool | What |\\n|------|------|\\n| `td_read_dat` | Read DAT text content |\\n| `td_write_dat` | Write/patch DAT content |\\n| `td_read_chop` | Read CHOP channel values |\\n| `td_read_textport` | Read TD console output |\\n\\n**Visual:**\\n| Tool | What |\\n|------|------|\\n| `td_get_screenshot` | Capture one OP viewer to file |\\n| `td_get_screenshots` | Capture multiple OPs at once |\\n| `td_get_screen_screenshot` | Capture actual screen via TD |\\n| `td_navigate_to` | Jump network editor to an OP |\\n\\n**Search:**\\n| Tool | What |\\n|------|------|\\n| `td_find_op` | Find ops by name/type across project |\\n| `td_search` | Search code, expressions, string params |\\n\\n**System:**\\n| Tool | What |\\n|------|------|\\n| `td_get_perf` | Performance profiling (FPS, slow ops) |\\n| `td_list_instances` | List all running TD instances |\\n| `td_get_docs` | In-depth docs on a TD topic |\\n| `td_agents_md` | Read/write per-COMP markdown docs |\\n| `td_reinit_extension` | Reload extension after code edit |\\n| `td_clear_textport` | Clear console before debug session |\\n\\n**Input Automation:**\\n| Tool | What |\\n|------|------|\\n| `td_input_execute` | Send mouse/keyboard to TD |\\n| `td_input_status` | Poll input queue status |\\n| `td_input_clear` | Stop input automation |\\n| `td_op_screen_rect` | Get screen coords of a node |\\n| `td_click_screen_point` | Click a point in a screenshot |\\n| `td_screen_point_to_global` | Convert screenshot pixel to absolute screen coords |\\n\\nThe table above covers the 32 tools used in typical creative workflows. The remaining 4 tools (`td_project_quit`, `td_test_session`, `td_dev_log`, `td_clear_dev_log`) are admin/dev-mode utilities — see `references/mcp-tools.md` for the full 36-tool reference with complete parameter schemas.\\n\\n## Key Implementation Rules\\n\\n**GLSL time:** No `uTDCurrentTime` in GLSL TOP. Use the Values page:\\n```python\\n# Call td_get_par_info(op_type=\\\"glslTOP\\\") first to confirm param names\\ntd_set_operator_pars(path=\\\"/project1/shader\\\", parameters={\\\"value0name\\\": \\\"uTime\\\"})\\n# Then set expression via script:\\n# op('/project1/shader').par.value0.expr = \\\"absTime.seconds\\\"\\n# In GLSL: uniform float uTime;\\n```\\n\\nFallback: Constant TOP in `rgba32float` format (8-bit clamps to 0-1, freezing the shader).\\n\\n**Feedback TOP:** Use `top` parameter reference, not direct input wire. \\\"Not enough sources\\\" resolves after first cook. \\\"Cook dependency loop\\\" warning is expected.\\n\\n**Resolution:** Non-Commercial caps at 1280×1280. Use `outputresolution = 'custom'`.\\n\\n**Large shaders:** Write GLSL to `/tmp/file.glsl`, then use `td_write_dat` or `td_execute_python` to load.\\n\\n**Vertex/Point access (TD 2025.32):** `point.P[0]`, `point.P[1]`, `point.P[2]` — NOT `.x`, `.y`, `.z`.\\n\\n**Extensions:** `ext0object` format is `\\\"op('./datName').module.ClassName(me)\\\"` in CONSTANT mode. After editing extension code with `td_write_dat`, call `td_reinit_extension`.\\n\\n**Script callbacks:** ALWAYS use relative paths via `me.parent()` / `scriptOp.parent()`.\\n\\n**Cleaning nodes:** Always `list(root.children)` before iterating + `child.valid` check.\\n\\n## Recording / Exporting Video\\n\\n```python\\n# via td_execute_python:\\nroot = op('/project1')\\nrec = root.create(moviefileoutTOP, 'recorder')\\nop('/project1/out').outputConnectors[0].connect(rec.inputConnectors[0])\\nrec.par.type = 'movie'\\nrec.par.file = '/tmp/output.mov'\\nrec.par.videocodec = 'prores' # Apple ProRes — NOT license-restricted on macOS\\nrec.par.record = True # start\\n# rec.par.record = False # stop (call separately later)\\n```\\n\\nH.264/H.265/AV1 need Commercial license. Use `prores` on macOS or `mjpa` as fallback.\\nExtract frames: `ffmpeg -i /tmp/output.mov -vframes 120 /tmp/frames/frame_%06d.png`\\n\\n**TOP.save() is useless for animation** — captures same GPU texture every time. Always use MovieFileOut.\\n\\n### Before Recording: Checklist\\n\\n1. **Verify FPS > 0** via `td_get_perf`. If FPS=0 the recording will be empty. See pitfalls #38-39.\\n2. **Verify shader output is not black** via `td_get_screenshot`. Black output = shader error or missing input. See pitfalls #8, #40.\\n3. **If recording with audio:** cue audio to start first, then delay recording by 3 frames. See pitfalls #19.\\n4. **Set output path before starting record** — setting both in the same script can race.\\n\\n## Audio-Reactive GLSL (Proven Recipe)\\n\\n### Correct signal chain (tested April 2026)\\n\\n```\\nAudioFileIn CHOP (playmode=sequential)\\n → AudioSpectrum CHOP (FFT=512, outputmenu=setmanually, outlength=256, timeslice=ON)\\n → Math CHOP (gain=10)\\n → CHOP to TOP (dataformat=r, layout=rowscropped)\\n → GLSL TOP input 1 (spectrum texture, 256x2)\\n\\nConstant TOP (rgba32float, time) → GLSL TOP input 0\\nGLSL TOP → Null TOP → MovieFileOut\\n```\\n\\n### Critical audio-reactive rules (empirically verified)\\n\\n1. **TimeSlice must stay ON** for AudioSpectrum. OFF = processes entire audio file → 24000+ samples → CHOP to TOP overflow.\\n2. **Set Output Length manually** to 256 via `outputmenu='setmanually'` and `outlength=256`. Default outputs 22050 samples.\\n3. **DO NOT use Lag CHOP for spectrum smoothing.** Lag CHOP operates in timeslice mode and expands 256 samples to 2400+, averaging all values to near-zero (~1e-06). The shader receives no usable data. This was the #1 audio sync failure in testing.\\n4. **DO NOT use Filter CHOP either** — same timeslice expansion problem with spectrum data.\\n5. **Smoothing belongs in the GLSL shader** if needed, via temporal lerp with a feedback texture: `mix(prevValue, newValue, 0.3)`. This gives frame-perfect sync with zero pipeline latency.\\n6. **CHOP to TOP dataformat = 'r'**, layout = 'rowscropped'. Spectrum output is 256x2 (stereo). Sample at y=0.25 for first channel.\\n7. **Math gain = 10** (not 5). Raw spectrum values are ~0.19 in bass range. Gain of 10 gives usable ~5.0 for the shader.\\n8. **No Resample CHOP needed.** Control output size via AudioSpectrum's `outlength` param directly.\\n\\n### GLSL spectrum sampling\\n\\n```glsl\\n// Input 0 = time (1x1 rgba32float), Input 1 = spectrum (256x2)\\nfloat iTime = texture(sTD2DInputs[0], vec2(0.5)).r;\\n\\n// Sample multiple points per band and average for stability:\\n// NOTE: y=0.25 for first channel (stereo texture is 256x2, first row center is 0.25)\\nfloat bass = (texture(sTD2DInputs[1], vec2(0.02, 0.25)).r +\\n texture(sTD2DInputs[1], vec2(0.05, 0.25)).r) / 2.0;\\nfloat mid = (texture(sTD2DInputs[1], vec2(0.2, 0.25)).r +\\n texture(sTD2DInputs[1], vec2(0.35, 0.25)).r) / 2.0;\\nfloat hi = (texture(sTD2DInputs[1], vec2(0.6, 0.25)).r +\\n texture(sTD2DInputs[1], vec2(0.8, 0.25)).r) / 2.0;\\n```\\n\\nSee `references/network-patterns.md` for complete build scripts + shader code.\\n\\n## Operator Quick Reference\\n\\n| Family | Color | Python class / MCP type | Suffix |\\n|--------|-------|-------------|--------|\\n| TOP | Purple | noiseTOP, glslTOP, compositeTOP, levelTop, blurTOP, textTOP, nullTOP | TOP |\\n| CHOP | Green | audiofileinCHOP, audiospectrumCHOP, mathCHOP, lfoCHOP, constantCHOP | CHOP |\\n| SOP | Blue | gridSOP, sphereSOP, transformSOP, noiseSOP | SOP |\\n| DAT | White | textDAT, tableDAT, scriptDAT, webserverDAT | DAT |\\n| MAT | Yellow | phongMAT, pbrMAT, glslMAT, constMAT | MAT |\\n| COMP | Gray | geometryCOMP, containerCOMP, cameraCOMP, lightCOMP, windowCOMP | COMP |\\n\\n## Security Notes\\n\\n- MCP runs on localhost only (port 40404). No authentication — any local process can send commands.\\n- `td_execute_python` has unrestricted access to the TD Python environment and filesystem as the TD process user.\\n- `setup.sh` downloads twozero.tox from the official 404zero.com URL. Verify the download if concerned.\\n- The skill never sends data outside localhost. All MCP communication is local.\\n\\n## References\\n\\n| File | What |\\n|------|------|\\n| `references/pitfalls.md` | Hard-won lessons from real sessions |\\n| `references/operators.md` | All operator families with params and use cases |\\n| `references/network-patterns.md` | Recipes: audio-reactive, generative, GLSL, instancing |\\n| `references/mcp-tools.md` | Full twozero MCP tool parameter schemas |\\n| `references/python-api.md` | TD Python: op(), scripting, extensions |\\n| `references/troubleshooting.md` | Connection diagnostics, debugging |\\n| `references/glsl.md` | GLSL uniforms, built-in functions, shader templates |\\n| `references/postfx.md` | Post-FX: bloom, CRT, chromatic aberration, feedback glow |\\n| `references/layout-compositor.md` | HUD layout patterns, panel grids, BSP-style layouts |\\n| `references/operator-tips.md` | Wireframe rendering, feedback TOP setup |\\n| `references/geometry-comp.md` | Geometry COMP: instancing, POP vs SOP, morphing |\\n| `references/audio-reactive.md` | Audio band extraction, beat detection, envelope following |\\n| `references/animation.md` | LFOs, timers, keyframes, easing, expression-driven motion |\\n| `references/midi-osc.md` | MIDI/OSC controllers, TouchOSC, multi-machine sync |\\n| `references/particles.md` | POPs and legacy particleSOP — emission, forces, collisions |\\n| `references/projection-mapping.md` | Multi-window output, corner pin, mesh warp, edge blending |\\n| `references/external-data.md` | HTTP, WebSocket, MQTT, Serial, TCP, webserverDAT |\\n| `references/panel-ui.md` | Custom params, panel COMPs, button/slider/field, panelExecuteDAT |\\n| `references/replicator.md` | replicatorCOMP — data-driven cloning, layouts, callbacks |\\n| `references/dat-scripting.md` | Execute DAT family — chop/dat/parameter/panel/op/executeDAT |\\n| `references/3d-scene.md` | Lighting rigs, shadows, IBL/cubemaps, multi-camera, PBR |\\n| `scripts/setup.sh` | Automated setup script |\\n\\n---\\n\\n> You're not writing code. You're conducting light.\\n\", \"path\": \"creative/touchdesigner-mcp/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/creative/touchdesigner-mcp\", \"linked_files\": {\"references\": [\"references/geometry-comp.md\", \"references/audio-reactive.md\", \"references/python-api.md\", \"references/projection-mapping.md\", \"references/dat-scripting.md\", \"references/glsl.md\", \"references/network-patterns.md\", \"references/replicator.md\", \"references/midi-osc.md\", \"references/layout-compositor.md\", \"references/troubleshooting.md\", \"references/operators.md\", \"references/panel-ui.md\", \"references/operator-tips.md\", \"references/postfx.md\", \"references/particles.md\", \"references/external-data.md\", \"references/animation.md\", \"references/pitfalls.md\", \"references/3d-scene.md\", \"references/mcp-tools.md\"], \"scripts\": [\"scripts/setup.sh\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"TouchDesigner\", \"MCP\", \"twozero\", \"creative-coding\", \"real-time-visuals\", \"generative-art\", \"audio-reactive\", \"VJ\", \"installation\", \"GLSL\"], \"related_skills\": [\"native-mcp\", \"ascii-video\", \"manim-video\", \"hermes-video\"]}}}", "tool_call_id": "call_function_482zhhlnflgr_6" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"jupyter-live-kernel\", \"description\": \"Iterative Python via live Jupyter kernel (hamelnb).\", \"tags\": [\"jupyter\", \"notebook\", \"repl\", \"data-science\", \"exploration\", \"iterative\"], \"related_skills\": [], \"content\": \"---\\nname: jupyter-live-kernel\\ndescription: \\\"Iterative Python via live Jupyter kernel (hamelnb).\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [jupyter, notebook, repl, data-science, exploration, iterative]\\n category: data-science\\n---\\n\\n# Jupyter Live Kernel (hamelnb)\\n\\nGives you a **stateful Python REPL** via a live Jupyter kernel. Variables persist\\nacross executions. Use this instead of `execute_code` when you need to build up\\nstate incrementally, explore APIs, inspect DataFrames, or iterate on complex code.\\n\\n## When to Use This vs Other Tools\\n\\n| Tool | Use When |\\n|------|----------|\\n| **This skill** | Iterative exploration, state across steps, data science, ML, \\\"let me try this and check\\\" |\\n| `execute_code` | One-shot scripts needing hermes tool access (web_search, file ops). Stateless. |\\n| `terminal` | Shell commands, builds, installs, git, process management |\\n\\n**Rule of thumb:** If you'd want a Jupyter notebook for the task, use this skill.\\n\\n## Prerequisites\\n\\n1. **uv** must be installed (check: `which uv`)\\n2. **JupyterLab** must be installed: `uv tool install jupyterlab`\\n3. A Jupyter server must be running (see Setup below)\\n\\n## Setup\\n\\nThe hamelnb script location:\\n```\\nSCRIPT=\\\"$HOME/.agent-skills/hamelnb/skills/jupyter-live-kernel/scripts/jupyter_live_kernel.py\\\"\\n```\\n\\nIf not cloned yet:\\n```\\ngit clone https://github.com/hamelsmu/hamelnb.git ~/.agent-skills/hamelnb\\n```\\n\\n### Starting JupyterLab\\n\\nCheck if a server is already running:\\n```\\nuv run \\\"$SCRIPT\\\" servers\\n```\\n\\nIf no servers found, start one:\\n```\\njupyter-lab --no-browser --port=8888 --notebook-dir=$HOME/notebooks \\\\\\n --IdentityProvider.token='' --ServerApp.password='' > /tmp/jupyter.log 2>&1 &\\nsleep 3\\n```\\n\\nNote: Token/password disabled for local agent access. The server runs headless.\\n\\n### Creating a Notebook for REPL Use\\n\\nIf you just need a REPL (no existing notebook), create a minimal notebook file:\\n```\\nmkdir -p ~/notebooks\\n```\\nWrite a minimal .ipynb JSON file with one empty code cell, then start a kernel\\nsession via the Jupyter REST API:\\n```\\ncurl -s -X POST http://127.0.0.1:8888/api/sessions \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n -d '{\\\"path\\\":\\\"scratch.ipynb\\\",\\\"type\\\":\\\"notebook\\\",\\\"name\\\":\\\"scratch.ipynb\\\",\\\"kernel\\\":{\\\"name\\\":\\\"python3\\\"}}'\\n```\\n\\n## Core Workflow\\n\\nAll commands return structured JSON. Always use `--compact` to save tokens.\\n\\n### 1. Discover servers and notebooks\\n\\n```\\nuv run \\\"$SCRIPT\\\" servers --compact\\nuv run \\\"$SCRIPT\\\" notebooks --compact\\n```\\n\\n### 2. Execute code (primary operation)\\n\\n```\\nuv run \\\"$SCRIPT\\\" execute --path --code '' --compact\\n```\\n\\nState persists across execute calls. Variables, imports, objects all survive.\\n\\nMulti-line code works with $'...' quoting:\\n```\\nuv run \\\"$SCRIPT\\\" execute --path scratch.ipynb --code $'import os\\\\nfiles = os.listdir(\\\".\\\")\\\\nprint(f\\\"Found {len(files)} files\\\")' --compact\\n```\\n\\n### 3. Inspect live variables\\n\\n```\\nuv run \\\"$SCRIPT\\\" variables --path list --compact\\nuv run \\\"$SCRIPT\\\" variables --path preview --name --compact\\n```\\n\\n### 4. Edit notebook cells\\n\\n```\\n# View current cells\\nuv run \\\"$SCRIPT\\\" contents --path --compact\\n\\n# Insert a new cell\\nuv run \\\"$SCRIPT\\\" edit --path insert \\\\\\n --at-index --cell-type code --source '' --compact\\n\\n# Replace cell source (use cell-id from contents output)\\nuv run \\\"$SCRIPT\\\" edit --path replace-source \\\\\\n --cell-id --source '' --compact\\n\\n# Delete a cell\\nuv run \\\"$SCRIPT\\\" edit --path delete --cell-id --compact\\n```\\n\\n### 5. Verification (restart + run all)\\n\\nOnly use when the user asks for a clean verification or you need to confirm\\nthe notebook runs top-to-bottom:\\n\\n```\\nuv run \\\"$SCRIPT\\\" restart-run-all --path --save-outputs --compact\\n```\\n\\n## Practical Tips from Experience\\n\\n1. **First execution after server start may timeout** — the kernel needs a moment\\n to initialize. If you get a timeout, just retry.\\n\\n2. **The kernel Python is JupyterLab's Python** — packages must be installed in\\n that environment. If you need additional packages, install them into the\\n JupyterLab tool environment first.\\n\\n3. **--compact flag saves significant tokens** — always use it. JSON output can\\n be very verbose without it.\\n\\n4. **For pure REPL use**, create a scratch.ipynb and don't bother with cell editing.\\n Just use `execute` repeatedly.\\n\\n5. **Argument order matters** — subcommand flags like `--path` go BEFORE the\\n sub-subcommand. E.g.: `variables --path nb.ipynb list` not `variables list --path nb.ipynb`.\\n\\n6. **If a session doesn't exist yet**, you need to start one via the REST API\\n (see Setup section). The tool can't execute without a live kernel session.\\n\\n7. **Errors are returned as JSON** with traceback — read the `ename` and `evalue`\\n fields to understand what went wrong.\\n\\n8. **Occasional websocket timeouts** — some operations may timeout on first try,\\n especially after a kernel restart. Retry once before escalating.\\n\\n## Timeout Defaults\\n\\nThe script has a 30-second default timeout per execution. For long-running\\noperations, pass `--timeout 120`. Use generous timeouts (60+) for initial\\nsetup or heavy computation.\\n\", \"path\": \"data-science/jupyter-live-kernel/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/data-science/jupyter-live-kernel\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"jupyter\", \"notebook\", \"repl\", \"data-science\", \"exploration\", \"iterative\"], \"category\": \"data-science\"}}}", "tool_call_id": "call_function_482zhhlnflgr_7" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"kanban-orchestrator\", \"description\": \"Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban. The \\\"don't do the work yourself\\\" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.\", \"tags\": [\"kanban\", \"multi-agent\", \"orchestration\", \"routing\"], \"related_skills\": [\"kanban-worker\"], \"content\": \"---\\nname: kanban-orchestrator\\ndescription: Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban. The \\\"don't do the work yourself\\\" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.\\nversion: 3.0.0\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [kanban, multi-agent, orchestration, routing]\\n related_skills: [kanban-worker]\\n---\\n\\n# Kanban Orchestrator — Decomposition Playbook\\n\\n> The **core worker lifecycle** (including the `kanban_create` fan-out pattern and the \\\"decompose, don't execute\\\" rule) is auto-injected into every kanban process via the `KANBAN_GUIDANCE` system-prompt block. This skill is the deeper playbook when you're an orchestrator profile whose whole job is routing.\\n\\n## Profiles are user-configured — not a fixed roster\\n\\nHermes setups vary widely. Some users run a single profile that does everything; some run a small fleet (`docker-worker`, `cron-worker`); some run a curated specialist team they've named themselves. There is **no default specialist roster** — the orchestrator skill does not know what profiles exist on this machine.\\n\\nBefore fanning out, you must ground the decomposition in the profiles that actually exist. The dispatcher silently fails to spawn unknown assignee names — it doesn't autocorrect, doesn't suggest, doesn't fall back. So a card assigned to `researcher` on a setup that only has `docker-worker` just sits in `ready` forever.\\n\\n**Step 0: discover available profiles before planning.**\\n\\nUse one of these:\\n\\n- `hermes profile list` — prints the table of profiles configured on this machine. Run it through your terminal tool if you have one; otherwise ask the user.\\n- `kanban_list(assignee=\\\"\\\")` — sanity-check a single name. Returns an empty list (rather than an error) for an unknown assignee, so this only confirms a name you're already considering.\\n- **Just ask the user.** \\\"What profiles do you have set up?\\\" is a fine first turn when the goal needs more than one specialist.\\n\\nCache the result in your working memory for the rest of the conversation. Re-asking every turn wastes a tool call.\\n\\n## When to use the board (vs. just doing the work)\\n\\nCreate Kanban tasks when any of these are true:\\n\\n1. **Multiple specialists are needed.** Research + analysis + writing is three profiles.\\n2. **The work should survive a crash or restart.** Long-running, recurring, or important.\\n3. **The user might want to interject.** Human-in-the-loop at any step.\\n4. **Multiple subtasks can run in parallel.** Fan-out for speed.\\n5. **Review / iteration is expected.** A reviewer profile loops on drafter output.\\n6. **The audit trail matters.** Board rows persist in SQLite forever.\\n\\nIf *none* of those apply — it's a small one-shot reasoning task — use `delegate_task` instead or answer the user directly.\\n\\n## The anti-temptation rules\\n\\nYour job description says \\\"route, don't execute.\\\" The rules that enforce that:\\n\\n- **Do not execute the work yourself.** Your restricted toolset usually doesn't even include terminal/file/code/web for implementation. If you find yourself \\\"just fixing this quickly\\\" — stop and create a task for the right specialist.\\n- **For any concrete task, create a Kanban task and assign it.** Every single time.\\n- **Split multi-lane requests before creating cards.** A user prompt can contain several independent workstreams. Extract those lanes first, then create one card per lane instead of bundling unrelated work into a single implementer card.\\n- **Run independent lanes in parallel.** If two cards do not need each other's output, leave them unlinked so the dispatcher can fan them out. Link only true data dependencies.\\n- **Never create dependent work as independent ready cards.** If a card must wait for another card, pass `parents=[...]` in the original `kanban_create` call. Do not create it first and link it later, and do not rely on prose like \\\"wait for T1\\\" inside the body.\\n- **If no specialist fits the available profiles, ask the user which profile to create or which existing profile to use.** Do not invent profile names; the dispatcher will silently drop unknown assignees.\\n- **Decompose, route, and summarize — that's the whole job.**\\n\\n## Decomposition playbook\\n\\n### Step 1 — Understand the goal\\n\\nAsk clarifying questions if the goal is ambiguous. Cheap to ask; expensive to spawn the wrong fleet.\\n\\n### Step 2 — Sketch the task graph\\n\\nBefore creating anything, draft the graph out loud (in your response to the user). Treat every concrete workstream as a candidate card:\\n\\n1. Extract the lanes from the request.\\n2. Map each lane to one of the profiles you discovered in Step 0. If a lane doesn't fit any existing profile, ask the user which to use or create.\\n3. Decide whether each lane is independent or gated by another lane.\\n4. Create independent lanes as parallel cards with no parent links.\\n5. Create synthesis/review/integration cards with parent links to the lanes they depend on. A child created with unfinished parents starts in `todo`; the dispatcher promotes it to `ready` only after every parent is done.\\n\\nExamples of prompts that should fan out (using placeholder profile names — substitute whatever exists on the user's setup):\\n\\n- \\\"Build an app\\\" → one card to a design-oriented profile for product/UI direction, one or two cards to engineering profiles for implementation, plus a later integration/review card if the user has a reviewer profile.\\n- \\\"Fix blockers and check model variants\\\" → one implementation card for the blocker fixes plus one discovery/research card for config/source verification. A final reviewer card can depend on both.\\n- \\\"Research docs and implement\\\" → a docs-research card can run in parallel with a codebase-discovery card; implementation waits only if it truly needs those findings.\\n- \\\"Analyze this screenshot and find the related code\\\" → one card to a vision-capable profile for the visual analysis while another searches the codebase.\\n\\nWords like \\\"also,\\\" \\\"finally,\\\" or \\\"and\\\" do not automatically imply a dependency. They often mean \\\"make sure this is covered before reporting back.\\\" Only link tasks when one card cannot start until another card's output exists.\\n\\nShow the graph to the user before creating cards. Let them correct it — including which actual profile name should own each lane.\\n\\n### Step 3 — Create tasks and link\\n\\nUse the profile names from Step 0. The example below uses placeholders ``, ``, `` — replace them with what the user actually has.\\n\\n```python\\nt1 = kanban_create(\\n title=\\\"research: Postgres cost vs current\\\",\\n assignee=\\\"\\\", # whichever profile handles research on this setup\\n body=\\\"Compare estimated infrastructure costs, migration costs, and ongoing ops costs over a 3-year window. Sources: AWS/GCP pricing, team time estimates, current Postgres bills from peers.\\\",\\n tenant=os.environ.get(\\\"HERMES_TENANT\\\"),\\n)[\\\"task_id\\\"]\\n\\nt2 = kanban_create(\\n title=\\\"research: Postgres performance vs current\\\",\\n assignee=\\\"\\\", # same profile, run in parallel\\n body=\\\"Compare query latency, throughput, and scaling characteristics at our expected data volume (~500GB, 10k QPS peak). Sources: benchmark papers, public case studies, pgbench results if easy.\\\",\\n)[\\\"task_id\\\"]\\n\\nt3 = kanban_create(\\n title=\\\"synthesize migration recommendation\\\",\\n assignee=\\\"\\\", # whichever profile does synthesis/analysis\\n body=\\\"Read the findings from T1 (cost) and T2 (performance). Produce a 1-page recommendation with explicit trade-offs and a go/no-go call.\\\",\\n parents=[t1, t2],\\n)[\\\"task_id\\\"]\\n\\nt4 = kanban_create(\\n title=\\\"draft decision memo\\\",\\n assignee=\\\"\\\", # whichever profile drafts user-facing prose\\n body=\\\"Turn the analyst's recommendation into a 2-page memo for the CTO. Match the tone of previous decision memos in the team's knowledge base.\\\",\\n parents=[t3],\\n)[\\\"task_id\\\"]\\n```\\n\\n`parents=[...]` gates promotion — children stay in `todo` until every parent reaches `done`, then auto-promote to `ready`. No manual coordination needed; the dispatcher and dependency engine handle it.\\n\\nIf the task graph has dependencies, create the parent cards first, capture their returned ids, and include those ids in the child card's `parents` list during the child `kanban_create` call. Avoid creating all cards in parallel and linking them afterward; that creates a window where the dispatcher can claim a child before its inputs exist.\\n\\n### Step 4 — Complete your own task\\n\\nIf you were spawned as a task yourself (e.g. a planner profile was assigned `T0: \\\"investigate Postgres migration\\\"`), mark it done with a summary of what you created:\\n\\n```python\\nkanban_complete(\\n summary=\\\"decomposed into T1-T4: 2 research lanes in parallel, 1 synthesis on their outputs, 1 prose draft on the recommendation\\\",\\n metadata={\\n \\\"task_graph\\\": {\\n \\\"T1\\\": {\\\"assignee\\\": \\\"\\\", \\\"parents\\\": []},\\n \\\"T2\\\": {\\\"assignee\\\": \\\"\\\", \\\"parents\\\": []},\\n \\\"T3\\\": {\\\"assignee\\\": \\\"\\\", \\\"parents\\\": [\\\"T1\\\", \\\"T2\\\"]},\\n \\\"T4\\\": {\\\"assignee\\\": \\\"\\\", \\\"parents\\\": [\\\"T3\\\"]},\\n },\\n },\\n)\\n```\\n\\n### Step 5 — Report back to the user\\n\\nTell them what you created in plain prose, naming the actual profiles you used:\\n\\n> I've queued 4 tasks:\\n> - **T1** (``): cost comparison\\n> - **T2** (``): performance comparison, in parallel with T1\\n> - **T3** (``): synthesizes T1 + T2 into a recommendation\\n> - **T4** (``): turns T3 into a CTO memo\\n>\\n> The dispatcher will pick up T1 and T2 now. T3 starts when both finish. You'll get a gateway ping when T4 completes. Use the dashboard or `hermes kanban tail ` to follow along.\\n\\n## Common patterns\\n\\n**Fan-out + fan-in (research → synthesize):** N research-style cards with no parents, one synthesis card with all of them as parents.\\n\\n**Parallel implementation + validation:** one implementer card makes the change while one explorer/researcher card verifies config, docs, or source mapping. A reviewer card can depend on both. Do not make the implementer own unrelated verification just because the user mentioned both in one sentence.\\n\\n**Pipeline with gates:** `planner → implementer → reviewer`. Each stage's `parents=[previous_task]`. Reviewer blocks or completes; if reviewer blocks, the operator unblocks with feedback and respawns.\\n\\n**Same-profile queue:** N tasks, all assigned to the same profile, no dependencies between them. Dispatcher serializes — that profile processes them in priority order, accumulating experience in its own memory.\\n\\n**Human-in-the-loop:** Any task can `kanban_block()` to wait for input. Dispatcher respawns after `/unblock`. The comment thread carries the full context.\\n\\n## Pitfalls\\n\\n**Inventing profile names that don't exist.** The dispatcher silently fails to spawn unknown assignees — the card just sits in `ready` forever. Always assign to a profile from your Step 0 discovery; ask the user if you're unsure.\\n\\n**Bundling independent lanes into one card.** If the user asks for two independent outcomes, create two cards. Example: \\\"fix blockers and check model variants\\\" is not one fixer task; create a fixer/engineer card for the fixes and an explorer/researcher card for the variant check, then optionally gate review on both.\\n\\n**Over-linking because of wording.** \\\"Finally check X\\\" may still be parallel with implementation if X is static config, docs, or source discovery. Link it after implementation only when the check depends on the implementation result.\\n\\n**Forgetting dependency links.** If the task graph says `research -> implement -> review`, do not create all tasks as independent ready cards. Use parent links so implement/review cannot run before their inputs exist.\\n\\n**Reassignment vs. new task.** If a reviewer blocks with \\\"needs changes,\\\" create a NEW task linked from the reviewer's task — don't re-run the same task with a stern look. The new task is assigned to the original implementer profile.\\n\\n**Argument order for links.** `kanban_link(parent_id=..., child_id=...)` — parent first. Mixing them up demotes the wrong task to `todo`.\\n\\n**Don't pre-create the whole graph if the shape depends on intermediate findings.** If T3's structure depends on what T1 and T2 find, let T3 exist as a \\\"synthesize findings\\\" task whose own first step is to read parent handoffs and plan the rest. Orchestrators can spawn orchestrators.\\n\\n**Tenant inheritance.** If `HERMES_TENANT` is set in your env, pass `tenant=os.environ.get(\\\"HERMES_TENANT\\\")` on every `kanban_create` call so child tasks stay in the same namespace.\\n\\n## Recovering stuck workers\\n\\nWhen a worker profile keeps crashing, hallucinating, or getting blocked by its own mistakes (usually: wrong model, missing skill, broken credential), the kanban dashboard flags the task with a ⚠ badge and opens a **Recovery** section in the drawer. Three primary actions:\\n\\n1. **Reclaim** (or `hermes kanban reclaim `) — abort the running worker immediately and reset the task to `ready`. The existing claim TTL is ~15 min; this is the fast path out.\\n2. **Reassign** (or `hermes kanban reassign --reclaim`) — switch the task to a different profile (one that exists on this setup) and let the dispatcher pick it up with a fresh worker.\\n3. **Change profile model** — the dashboard prints a copy-paste hint for `hermes -p model` since profile config lives on disk; edit it in a terminal, then Reclaim to retry with the new model.\\n\\nHallucination warnings appear on tasks where a worker's `kanban_complete(created_cards=[...])` claim included card ids that don't exist or weren't created by the worker's profile (the gate blocks the completion), or where the free-form summary references `t_` ids that don't resolve (advisory prose scan, non-blocking). Both produce audit events that persist even after recovery actions — the trail stays for debugging.\\n\", \"path\": \"devops/kanban-orchestrator/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/devops/kanban-orchestrator\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"kanban\", \"multi-agent\", \"orchestration\", \"routing\"], \"related_skills\": [\"kanban-worker\"]}}}", "tool_call_id": "call_function_482zhhlnflgr_8" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"kanban-worker\", \"description\": \"Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.\", \"tags\": [\"kanban\", \"multi-agent\", \"collaboration\", \"workflow\", \"pitfalls\"], \"related_skills\": [\"kanban-orchestrator\"], \"content\": \"---\\nname: kanban-worker\\ndescription: Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.\\nversion: 2.0.0\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [kanban, multi-agent, collaboration, workflow, pitfalls]\\n related_skills: [kanban-orchestrator]\\n---\\n\\n# Kanban Worker — Pitfalls and Examples\\n\\n> You're seeing this skill because the Hermes Kanban dispatcher spawned you as a worker with `--skills kanban-worker` — it's loaded automatically for every dispatched worker. The **lifecycle** (6 steps: orient → work → heartbeat → block/complete) also lives in the `KANBAN_GUIDANCE` block that's auto-injected into your system prompt. This skill is the deeper detail: good handoff shapes, retry diagnostics, edge cases.\\n\\n## Workspace handling\\n\\nYour workspace kind determines how you should behave inside `$HERMES_KANBAN_WORKSPACE`:\\n\\n| Kind | What it is | How to work |\\n|---|---|---|\\n| `scratch` | Fresh tmp dir, yours alone | Read/write freely; it gets GC'd when the task is archived. |\\n| `dir:` | Shared persistent directory | Other runs will read what you write. Treat it like long-lived state. Path is guaranteed absolute (the kernel rejects relative paths). |\\n| `worktree` | Git worktree at the resolved path | If `.git` doesn't exist, run `git worktree add ` from the main repo first, then cd and work normally. Commit work here. |\\n\\n## Tenant isolation\\n\\nIf `$HERMES_TENANT` is set, the task belongs to a tenant namespace. When reading or writing persistent memory, prefix memory entries with the tenant so context doesn't leak across tenants:\\n\\n- Good: `business-a: Acme is our biggest customer`\\n- Bad (leaks): `Acme is our biggest customer`\\n\\n## Good summary + metadata shapes\\n\\nThe `kanban_complete(summary=..., metadata=...)` handoff is how downstream workers read what you did. Patterns that work:\\n\\n**Coding task:**\\n```python\\nkanban_complete(\\n summary=\\\"shipped rate limiter — token bucket, keys on user_id with IP fallback, 14 tests pass\\\",\\n metadata={\\n \\\"changed_files\\\": [\\\"rate_limiter.py\\\", \\\"tests/test_rate_limiter.py\\\"],\\n \\\"tests_run\\\": 14,\\n \\\"tests_passed\\\": 14,\\n \\\"decisions\\\": [\\\"user_id primary, IP fallback for unauthenticated requests\\\"],\\n },\\n)\\n```\\n\\n**Coding task that needs human review (review-required):**\\n\\nFor most code-changing tasks, the work isn't truly *done* until a human reviewer has eyes on it. Block instead of complete, with `reason` prefixed `review-required: ` so the dashboard surfaces the row as needing review. Drop the structured metadata (changed files, test counts, diff/PR url) into a comment first, since `kanban_block` only carries the human-readable reason — comments are the durable annotation channel. Reviewer either approves and runs `hermes kanban unblock ` (which re-spawns you with the comment thread for any follow-ups) or asks for changes via another comment.\\n\\n```python\\nimport json\\n\\nkanban_comment(\\n body=\\\"review-required handoff:\\\\n\\\" + json.dumps({\\n \\\"changed_files\\\": [\\\"rate_limiter.py\\\", \\\"tests/test_rate_limiter.py\\\"],\\n \\\"tests_run\\\": 14,\\n \\\"tests_passed\\\": 14,\\n \\\"diff_path\\\": \\\"/path/to/worktree\\\", # or PR url if pushed\\n \\\"decisions\\\": [\\\"user_id primary, IP fallback for unauthenticated requests\\\"],\\n }, indent=2),\\n)\\nkanban_block(\\n reason=\\\"review-required: rate limiter shipped, 14/14 tests pass — needs eyes on the user_id/IP fallback choice before merging\\\",\\n)\\n```\\n\\nUse `kanban_complete` only when the task is genuinely terminal — e.g. a one-line typo fix, a docs change with no functional consequences, or a research task where the artifact IS the writeup itself.\\n\\n**Research task:**\\n```python\\nkanban_complete(\\n summary=\\\"3 competing libraries reviewed; vLLM wins on throughput, SGLang on latency, Tensorrt-LLM on memory efficiency\\\",\\n metadata={\\n \\\"sources_read\\\": 12,\\n \\\"recommendation\\\": \\\"vLLM\\\",\\n \\\"benchmarks\\\": {\\\"vllm\\\": 1.0, \\\"sglang\\\": 0.87, \\\"trtllm\\\": 0.72},\\n },\\n)\\n```\\n\\n**Review task:**\\n```python\\nkanban_complete(\\n summary=\\\"reviewed PR #123; 2 blocking issues found (SQL injection in /search, missing CSRF on /settings)\\\",\\n metadata={\\n \\\"pr_number\\\": 123,\\n \\\"findings\\\": [\\n {\\\"severity\\\": \\\"critical\\\", \\\"file\\\": \\\"api/search.py\\\", \\\"line\\\": 42, \\\"issue\\\": \\\"raw SQL concat\\\"},\\n {\\\"severity\\\": \\\"high\\\", \\\"file\\\": \\\"api/settings.py\\\", \\\"issue\\\": \\\"missing CSRF middleware\\\"},\\n ],\\n \\\"approved\\\": False,\\n },\\n)\\n```\\n\\nShape `metadata` so downstream parsers (reviewers, aggregators, schedulers) can use it without re-reading your prose.\\n\\n## Claiming cards you actually created\\n\\nIf your run produced new kanban tasks (via `kanban_create`), pass the ids in `created_cards` on `kanban_complete`. The kernel verifies each id exists and was created by your profile; any phantom id blocks the completion with an error listing what went wrong, and the rejected attempt is permanently recorded on the task's event log. **Only list ids you captured from a successful `kanban_create` return value — never invent ids from prose, never paste ids from earlier runs, never claim cards another worker created.**\\n\\n```python\\n# GOOD — capture return values, then claim them.\\nc1 = kanban_create(title=\\\"remediate SQL injection\\\", assignee=\\\"security-worker\\\")\\nc2 = kanban_create(title=\\\"fix CSRF middleware\\\", assignee=\\\"web-worker\\\")\\n\\nkanban_complete(\\n summary=\\\"Review done; spawned remediations for both findings.\\\",\\n metadata={\\\"pr_number\\\": 123, \\\"approved\\\": False},\\n created_cards=[c1[\\\"task_id\\\"], c2[\\\"task_id\\\"]],\\n)\\n```\\n\\n```python\\n# BAD — claiming ids you don't have captured return values for.\\nkanban_complete(\\n summary=\\\"Created remediation cards t_a1b2c3d4, t_deadbeef\\\", # hallucinated\\n created_cards=[\\\"t_a1b2c3d4\\\", \\\"t_deadbeef\\\"], # → gate rejects\\n)\\n```\\n\\nIf a `kanban_create` call fails (exception, tool_error), the card was NOT created — do not include a phantom id for it. Retry the create, or omit the id and mention the failure in your summary. The prose-scan pass also catches `t_` references in your free-form summary that don't resolve; these don't block the completion but show up as advisory warnings on the task in the dashboard.\\n\\n## Block reasons that get answered fast\\n\\nBad: `\\\"stuck\\\"` — the human has no context.\\n\\nGood: one sentence naming the specific decision you need. Leave longer context as a comment instead.\\n\\n```python\\nkanban_comment(\\n task_id=os.environ[\\\"HERMES_KANBAN_TASK\\\"],\\n body=\\\"Full context: I have user IPs from Cloudflare headers but some users are behind NATs with thousands of peers. Keying on IP alone causes false positives.\\\",\\n)\\nkanban_block(reason=\\\"Rate limit key choice: IP (simple, NAT-unsafe) or user_id (requires auth, skips anonymous endpoints)?\\\")\\n```\\n\\nThe block message is what appears in the dashboard / gateway notifier. The comment is the deeper context a human reads when they open the task.\\n\\n## Heartbeats worth sending\\n\\nGood heartbeats name progress: `\\\"epoch 12/50, loss 0.31\\\"`, `\\\"scanned 1.2M/2.4M rows\\\"`, `\\\"uploaded 47/120 videos\\\"`.\\n\\nBad heartbeats: `\\\"still working\\\"`, empty notes, sub-second intervals. Every few minutes max; skip entirely for tasks under ~2 minutes.\\n\\n## Retry scenarios\\n\\nIf you open the task and `kanban_show` returns `runs: [...]` with one or more closed runs, you're a retry. The prior runs' `outcome` / `summary` / `error` tell you what didn't work. Don't repeat that path. Typical retry diagnostics:\\n\\n- `outcome: \\\"timed_out\\\"` — the previous attempt hit `max_runtime_seconds`. You may need to chunk the work or shorten it.\\n- `outcome: \\\"crashed\\\"` — OOM or segfault. Reduce memory footprint.\\n- `outcome: \\\"spawn_failed\\\"` + `error: \\\"...\\\"` — usually a profile config issue (missing credential, bad PATH). Ask the human via `kanban_block` instead of retrying blindly.\\n- `outcome: \\\"reclaimed\\\"` + `summary: \\\"task archived...\\\"` — operator archived the task out from under the previous run; you probably shouldn't be running at all, check status carefully.\\n- `outcome: \\\"blocked\\\"` — a previous attempt blocked; the unblock comment should be in the thread by now.\\n\\n## Do NOT\\n\\n- Call `delegate_task` as a substitute for `kanban_create`. `delegate_task` is for short reasoning subtasks inside YOUR run; `kanban_create` is for cross-agent handoffs that outlive one API loop.\\n- Modify files outside `$HERMES_KANBAN_WORKSPACE` unless the task body says to.\\n- Create follow-up tasks assigned to yourself — assign to the right specialist.\\n- Complete a task you didn't actually finish. Block it instead.\\n\\n## Pitfalls\\n\\n**Task state can change between dispatch and your startup.** Between when the dispatcher claimed and when your process actually booted, the task may have been blocked, reassigned, or archived. Always `kanban_show` first. If it reports `blocked` or `archived`, stop — you shouldn't be running.\\n\\n**Workspace may have stale artifacts.** Especially `dir:` and `worktree` workspaces can have files from previous runs. Read the comment thread — it usually explains why you're running again and what state the workspace is in.\\n\\n**Don't rely on the CLI when the guidance is available.** The `kanban_*` tools work across all terminal backends (Docker, Modal, SSH). `hermes kanban ` from your terminal tool will fail in containerized backends because the CLI isn't installed there. When in doubt, use the tool.\\n\\n## CLI fallback (for scripting)\\n\\nEvery tool has a CLI equivalent for human operators and scripts:\\n- `kanban_show` ↔ `hermes kanban show --json`\\n- `kanban_complete` ↔ `hermes kanban complete --summary \\\"...\\\" --metadata '{...}'`\\n- `kanban_block` ↔ `hermes kanban block \\\"reason\\\"`\\n- `kanban_create` ↔ `hermes kanban create \\\"title\\\" --assignee [--parent ]`\\n- etc.\\n\\nUse the tools from inside an agent; the CLI exists for the human at the terminal.\\n\", \"path\": \"devops/kanban-worker/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/devops/kanban-worker\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"kanban\", \"multi-agent\", \"collaboration\", \"workflow\", \"pitfalls\"], \"related_skills\": [\"kanban-orchestrator\"]}}}", "tool_call_id": "call_function_482zhhlnflgr_9" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"webhook-subscriptions\", \"description\": \"Webhook subscriptions: event-driven agent runs.\", \"tags\": [\"webhook\", \"events\", \"automation\", \"integrations\", \"notifications\", \"push\"], \"related_skills\": [], \"content\": \"---\\nname: webhook-subscriptions\\ndescription: \\\"Webhook subscriptions: event-driven agent runs.\\\"\\nversion: 1.1.0\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [webhook, events, automation, integrations, notifications, push]\\n---\\n\\n# Webhook Subscriptions\\n\\nCreate dynamic webhook subscriptions so external services (GitHub, GitLab, Stripe, CI/CD, IoT sensors, monitoring tools) can trigger Hermes agent runs by POSTing events to a URL.\\n\\n## Setup (Required First)\\n\\nThe webhook platform must be enabled before subscriptions can be created. Check with:\\n```bash\\nhermes webhook list\\n```\\n\\nIf it says \\\"Webhook platform is not enabled\\\", set it up:\\n\\n### Option 1: Setup wizard\\n```bash\\nhermes gateway setup\\n```\\nFollow the prompts to enable webhooks, set the port, and set a global HMAC secret.\\n\\n### Option 2: Manual config\\nAdd to `~/.hermes/config.yaml`:\\n```yaml\\nplatforms:\\n webhook:\\n enabled: true\\n extra:\\n host: \\\"0.0.0.0\\\"\\n port: 8644\\n secret: \\\"generate-a-strong-secret-here\\\"\\n```\\n\\n### Option 3: Environment variables\\nAdd to `~/.hermes/.env`:\\n```bash\\nWEBHOOK_ENABLED=true\\nWEBHOOK_PORT=8644\\nWEBHOOK_SECRET=generate-a-strong-secret-here\\n```\\n\\nAfter configuration, start (or restart) the gateway:\\n```bash\\nhermes gateway run\\n# Or if using systemd:\\nsystemctl --user restart hermes-gateway\\n```\\n\\nVerify it's running:\\n```bash\\ncurl http://localhost:8644/health\\n```\\n\\n## Commands\\n\\nAll management is via the `hermes webhook` CLI command:\\n\\n### Create a subscription\\n```bash\\nhermes webhook subscribe \\\\\\n --prompt \\\"Prompt template with {payload.fields}\\\" \\\\\\n --events \\\"event1,event2\\\" \\\\\\n --description \\\"What this does\\\" \\\\\\n --skills \\\"skill1,skill2\\\" \\\\\\n --deliver telegram \\\\\\n --deliver-chat-id \\\"12345\\\" \\\\\\n --secret \\\"optional-custom-secret\\\"\\n```\\n\\nReturns the webhook URL and HMAC secret. The user configures their service to POST to that URL.\\n\\n### List subscriptions\\n```bash\\nhermes webhook list\\n```\\n\\n### Remove a subscription\\n```bash\\nhermes webhook remove \\n```\\n\\n### Test a subscription\\n```bash\\nhermes webhook test \\nhermes webhook test --payload '{\\\"key\\\": \\\"value\\\"}'\\n```\\n\\n## Prompt Templates\\n\\nPrompts support `{dot.notation}` for accessing nested payload fields:\\n\\n- `{issue.title}` — GitHub issue title\\n- `{pull_request.user.login}` — PR author\\n- `{data.object.amount}` — Stripe payment amount\\n- `{sensor.temperature}` — IoT sensor reading\\n\\nIf no prompt is specified, the full JSON payload is dumped into the agent prompt.\\n\\n## Common Patterns\\n\\n### GitHub: new issues\\n```bash\\nhermes webhook subscribe github-issues \\\\\\n --events \\\"issues\\\" \\\\\\n --prompt \\\"New GitHub issue #{issue.number}: {issue.title}\\\\n\\\\nAction: {action}\\\\nAuthor: {issue.user.login}\\\\nBody:\\\\n{issue.body}\\\\n\\\\nPlease triage this issue.\\\" \\\\\\n --deliver telegram \\\\\\n --deliver-chat-id \\\"-100123456789\\\"\\n```\\n\\nThen in GitHub repo Settings → Webhooks → Add webhook:\\n- Payload URL: the returned webhook_url\\n- Content type: application/json\\n- Secret: the returned secret\\n- Events: \\\"Issues\\\"\\n\\n### GitHub: PR reviews\\n```bash\\nhermes webhook subscribe github-prs \\\\\\n --events \\\"pull_request\\\" \\\\\\n --prompt \\\"PR #{pull_request.number} {action}: {pull_request.title}\\\\nBy: {pull_request.user.login}\\\\nBranch: {pull_request.head.ref}\\\\n\\\\n{pull_request.body}\\\" \\\\\\n --skills \\\"github-code-review\\\" \\\\\\n --deliver github_comment\\n```\\n\\n### Stripe: payment events\\n```bash\\nhermes webhook subscribe stripe-payments \\\\\\n --events \\\"payment_intent.succeeded,payment_intent.payment_failed\\\" \\\\\\n --prompt \\\"Payment {data.object.status}: {data.object.amount} cents from {data.object.receipt_email}\\\" \\\\\\n --deliver telegram \\\\\\n --deliver-chat-id \\\"-100123456789\\\"\\n```\\n\\n### CI/CD: build notifications\\n```bash\\nhermes webhook subscribe ci-builds \\\\\\n --events \\\"pipeline\\\" \\\\\\n --prompt \\\"Build {object_attributes.status} on {project.name} branch {object_attributes.ref}\\\\nCommit: {commit.message}\\\" \\\\\\n --deliver discord \\\\\\n --deliver-chat-id \\\"1234567890\\\"\\n```\\n\\n### Generic monitoring alert\\n```bash\\nhermes webhook subscribe alerts \\\\\\n --prompt \\\"Alert: {alert.name}\\\\nSeverity: {alert.severity}\\\\nMessage: {alert.message}\\\\n\\\\nPlease investigate and suggest remediation.\\\" \\\\\\n --deliver origin\\n```\\n\\n### Direct delivery (no agent, zero LLM cost)\\n\\nFor use cases where you just want to push a notification through to a user's chat — no reasoning, no agent loop — add `--deliver-only`. The rendered `--prompt` template becomes the literal message body and is dispatched directly to the target adapter.\\n\\nUse this for:\\n- External service push notifications (Supabase/Firebase webhooks → Telegram)\\n- Monitoring alerts that should forward verbatim\\n- Inter-agent pings where one agent is telling another agent's user something\\n- Any webhook where an LLM round trip would be wasted effort\\n\\n```bash\\nhermes webhook subscribe antenna-matches \\\\\\n --deliver telegram \\\\\\n --deliver-chat-id \\\"123456789\\\" \\\\\\n --deliver-only \\\\\\n --prompt \\\"🎉 New match: {match.user_name} matched with you!\\\" \\\\\\n --description \\\"Antenna match notifications\\\"\\n```\\n\\nThe POST returns `200 OK` on successful delivery, `502` on target failure — so upstream services can retry intelligently. HMAC auth, rate limits, and idempotency still apply.\\n\\nRequires `--deliver` to be a real target (telegram, discord, slack, github_comment, etc.) — `--deliver log` is rejected because log-only direct delivery is pointless.\\n\\n## Security\\n\\n- Each subscription gets an auto-generated HMAC-SHA256 secret (or provide your own with `--secret`)\\n- The webhook adapter validates signatures on every incoming POST\\n- Static routes from config.yaml cannot be overwritten by dynamic subscriptions\\n- Subscriptions persist to `~/.hermes/webhook_subscriptions.json`\\n\\n## How It Works\\n\\n1. `hermes webhook subscribe` writes to `~/.hermes/webhook_subscriptions.json`\\n2. The webhook adapter hot-reloads this file on each incoming request (mtime-gated, negligible overhead)\\n3. When a POST arrives matching a route, the adapter formats the prompt and triggers an agent run\\n4. The agent's response is delivered to the configured target (Telegram, Discord, GitHub comment, etc.)\\n\\n## Troubleshooting\\n\\nIf webhooks aren't working:\\n\\n1. **Is the gateway running?** Check with `systemctl --user status hermes-gateway` or `ps aux | grep gateway`\\n2. **Is the webhook server listening?** `curl http://localhost:8644/health` should return `{\\\"status\\\": \\\"ok\\\"}`\\n3. **Check gateway logs:** `grep webhook ~/.hermes/logs/gateway.log | tail -20`\\n4. **Signature mismatch?** Verify the secret in your service matches the one from `hermes webhook list`. GitHub sends `X-Hub-Signature-256`, GitLab sends `X-Gitlab-Token`.\\n5. **Firewall/NAT?** The webhook URL must be reachable from the service. For local development, use a tunnel (ngrok, cloudflared).\\n6. **Wrong event type?** Check `--events` filter matches what the service sends. Use `hermes webhook test ` to verify the route works.\\n\", \"path\": \"devops/webhook-subscriptions/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/devops/webhook-subscriptions\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"webhook\", \"events\", \"automation\", \"integrations\", \"notifications\", \"push\"]}}}", "tool_call_id": "call_function_482zhhlnflgr_10" }, { "role": "assistant", "content": "", "reasoning": "Now let me load the remaining skills from the list:\n21. himalaya\n22. minecraft-modpack-server\n23. pokemon-player\n24. codebase-inspection\n25. github-auth\n26. github-code-review\n27. github-issues\n28. github-pr-workflow\n29. github-repo-management\n30. native-mcp\n31. gif-search\n32. heartmula\n33. songsee\n34. ideation (was not found earlier)\n35. songwriting-and-ai-music (already loaded)\n36. pretext (already loaded)\n37. sketch (already loaded)\n38. popular-web-designs (already loaded)\n39. pixel-art (already loaded)\n40. touchdesigner-mcp (already loaded)\n\nLet me load the remaining ones I haven't seen yet.", "finish_reason": "tool_calls", "reasoning_content": "Now let me load the remaining skills from the list:\n21. himalaya\n22. minecraft-modpack-server\n23. pokemon-player\n24. codebase-inspection\n25. github-auth\n26. github-code-review\n27. github-issues\n28. github-pr-workflow\n29. github-repo-management\n30. native-mcp\n31. gif-search\n32. heartmula\n33. songsee\n34. ideation (was not found earlier)\n35. songwriting-and-ai-music (already loaded)\n36. pretext (already loaded)\n37. sketch (already loaded)\n38. popular-web-designs (already loaded)\n39. pixel-art (already loaded)\n40. touchdesigner-mcp (already loaded)\n\nLet me load the remaining ones I haven't seen yet.", "reasoning_details": [ { "signature": "a6c36f34c3e61bcd1306a77de152ae437f2ef8a37c9970232ee703014b861d41", "thinking": "Now let me load the remaining skills from the list:\n21. himalaya\n22. minecraft-modpack-server\n23. pokemon-player\n24. codebase-inspection\n25. github-auth\n26. github-code-review\n27. github-issues\n28. github-pr-workflow\n29. github-repo-management\n30. native-mcp\n31. gif-search\n32. heartmula\n33. songsee\n34. ideation (was not found earlier)\n35. songwriting-and-ai-music (already loaded)\n36. pretext (already loaded)\n37. sketch (already loaded)\n38. popular-web-designs (already loaded)\n39. pixel-art (already loaded)\n40. touchdesigner-mcp (already loaded)\n\nLet me load the remaining ones I haven't seen yet.", "type": "thinking" } ], "tool_calls": [ { "id": "call_function_0qki9180e6ay_1", "call_id": "call_function_0qki9180e6ay_1", "response_item_id": "fc_function_0qki9180e6ay_1", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"himalaya\"}" } }, { "id": "call_function_0qki9180e6ay_2", "call_id": "call_function_0qki9180e6ay_2", "response_item_id": "fc_function_0qki9180e6ay_2", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"minecraft-modpack-server\"}" } }, { "id": "call_function_0qki9180e6ay_3", "call_id": "call_function_0qki9180e6ay_3", "response_item_id": "fc_function_0qki9180e6ay_3", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"pokemon-player\"}" } }, { "id": "call_function_0qki9180e6ay_4", "call_id": "call_function_0qki9180e6ay_4", "response_item_id": "fc_function_0qki9180e6ay_4", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"codebase-inspection\"}" } }, { "id": "call_function_0qki9180e6ay_5", "call_id": "call_function_0qki9180e6ay_5", "response_item_id": "fc_function_0qki9180e6ay_5", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"github-auth\"}" } }, { "id": "call_function_0qki9180e6ay_6", "call_id": "call_function_0qki9180e6ay_6", "response_item_id": "fc_function_0qki9180e6ay_6", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"github-code-review\"}" } }, { "id": "call_function_0qki9180e6ay_7", "call_id": "call_function_0qki9180e6ay_7", "response_item_id": "fc_function_0qki9180e6ay_7", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"github-issues\"}" } }, { "id": "call_function_0qki9180e6ay_8", "call_id": "call_function_0qki9180e6ay_8", "response_item_id": "fc_function_0qki9180e6ay_8", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"github-pr-workflow\"}" } }, { "id": "call_function_0qki9180e6ay_9", "call_id": "call_function_0qki9180e6ay_9", "response_item_id": "fc_function_0qki9180e6ay_9", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"github-repo-management\"}" } }, { "id": "call_function_0qki9180e6ay_10", "call_id": "call_function_0qki9180e6ay_10", "response_item_id": "fc_function_0qki9180e6ay_10", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"native-mcp\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"himalaya\", \"description\": \"Himalaya CLI: IMAP/SMTP email from terminal.\", \"tags\": [\"Email\", \"IMAP\", \"SMTP\", \"CLI\", \"Communication\"], \"related_skills\": [], \"content\": \"---\\nname: himalaya\\ndescription: \\\"Himalaya CLI: IMAP/SMTP email from terminal.\\\"\\nversion: 1.1.0\\nauthor: community\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [Email, IMAP, SMTP, CLI, Communication]\\n homepage: https://github.com/pimalaya/himalaya\\nprerequisites:\\n commands: [himalaya]\\n---\\n\\n# Himalaya Email CLI\\n\\nHimalaya is a CLI email client that lets you manage emails from the terminal using IMAP, SMTP, Notmuch, or Sendmail backends.\\n\\n## References\\n\\n- `references/configuration.md` (config file setup + IMAP/SMTP authentication)\\n- `references/message-composition.md` (MML syntax for composing emails)\\n\\n## Prerequisites\\n\\n1. Himalaya CLI installed (`himalaya --version` to verify)\\n2. A configuration file at `~/.config/himalaya/config.toml`\\n3. IMAP/SMTP credentials configured (password stored securely)\\n\\n### Installation\\n\\n```bash\\n# Pre-built binary (Linux/macOS — recommended)\\ncurl -sSL https://raw.githubusercontent.com/pimalaya/himalaya/master/install.sh | PREFIX=~/.local sh\\n\\n# macOS via Homebrew\\nbrew install himalaya\\n\\n# Or via cargo (any platform with Rust)\\ncargo install himalaya --locked\\n```\\n\\n## Configuration Setup\\n\\nRun the interactive wizard to set up an account:\\n\\n```bash\\nhimalaya account configure\\n```\\n\\nOr create `~/.config/himalaya/config.toml` manually:\\n\\n```toml\\n[accounts.personal]\\nemail = \\\"you@example.com\\\"\\ndisplay-name = \\\"Your Name\\\"\\ndefault = true\\n\\nbackend.type = \\\"imap\\\"\\nbackend.host = \\\"imap.example.com\\\"\\nbackend.port = 993\\nbackend.encryption.type = \\\"tls\\\"\\nbackend.login = \\\"you@example.com\\\"\\nbackend.auth.type = \\\"password\\\"\\nbackend.auth.cmd = \\\"pass show email/imap\\\" # or use keyring\\n\\nmessage.send.backend.type = \\\"smtp\\\"\\nmessage.send.backend.host = \\\"smtp.example.com\\\"\\nmessage.send.backend.port = 587\\nmessage.send.backend.encryption.type = \\\"start-tls\\\"\\nmessage.send.backend.login = \\\"you@example.com\\\"\\nmessage.send.backend.auth.type = \\\"password\\\"\\nmessage.send.backend.auth.cmd = \\\"pass show email/smtp\\\"\\n\\n# Folder aliases (himalaya v1.2.0+ syntax). Required whenever the\\n# server's folder names don't match himalaya's canonical names\\n# (inbox/sent/drafts/trash). Gmail is the common case — see\\n# `references/configuration.md` for the `[Gmail]/Sent Mail` mapping.\\nfolder.aliases.inbox = \\\"INBOX\\\"\\nfolder.aliases.sent = \\\"Sent\\\"\\nfolder.aliases.drafts = \\\"Drafts\\\"\\nfolder.aliases.trash = \\\"Trash\\\"\\n```\\n\\n> **Heads up on the alias syntax.** Pre-v1.2.0 docs used a\\n> `[accounts.NAME.folder.alias]` sub-section (singular `alias`).\\n> v1.2.0 silently ignores that form — TOML parses fine, but the\\n> alias resolver never reads it, so every lookup falls through to\\n> the canonical name. On Gmail this means save-to-Sent fails *after*\\n> SMTP delivery succeeds, and `himalaya message send` exits non-zero.\\n> Any caller (agent, script, user) that retries on that exit code\\n> will re-run the entire send — including SMTP — producing duplicate\\n> emails to recipients. Always use `folder.aliases.X` (plural, dotted\\n> keys, directly under `[accounts.NAME]`).\\n\\n## Hermes Integration Notes\\n\\n- **Reading, listing, searching, moving, deleting** all work directly through the terminal tool\\n- **Composing/replying/forwarding** — piped input (`cat << EOF | himalaya template send`) is recommended for reliability. Interactive `$EDITOR` mode works with `pty=true` + background + process tool, but requires knowing the editor and its commands\\n- Use `--output json` for structured output that's easier to parse programmatically\\n- The `himalaya account configure` wizard requires interactive input — use PTY mode: `terminal(command=\\\"himalaya account configure\\\", pty=true)`\\n\\n## Common Operations\\n\\n### List Folders\\n\\n```bash\\nhimalaya folder list\\n```\\n\\n### List Emails\\n\\nList emails in INBOX (default):\\n\\n```bash\\nhimalaya envelope list\\n```\\n\\nList emails in a specific folder:\\n\\n```bash\\nhimalaya envelope list --folder \\\"Sent\\\"\\n```\\n\\nList with pagination:\\n\\n```bash\\nhimalaya envelope list --page 1 --page-size 20\\n```\\n\\n### Search Emails\\n\\n```bash\\nhimalaya envelope list from john@example.com subject meeting\\n```\\n\\n### Read an Email\\n\\nRead email by ID (shows plain text):\\n\\n```bash\\nhimalaya message read 42\\n```\\n\\nExport raw MIME:\\n\\n```bash\\nhimalaya message export 42 --full\\n```\\n\\n### Reply to an Email\\n\\nTo reply non-interactively from Hermes, read the original message, compose a reply, and pipe it:\\n\\n```bash\\n# Get the reply template, edit it, and send\\nhimalaya template reply 42 | sed 's/^$/\\\\nYour reply text here\\\\n/' | himalaya template send\\n```\\n\\nOr build the reply manually:\\n\\n```bash\\ncat << 'EOF' | himalaya template send\\nFrom: you@example.com\\nTo: sender@example.com\\nSubject: Re: Original Subject\\nIn-Reply-To: \\n\\nYour reply here.\\nEOF\\n```\\n\\nReply-all (interactive — needs $EDITOR, use template approach above instead):\\n\\n```bash\\nhimalaya message reply 42 --all\\n```\\n\\n### Forward an Email\\n\\n```bash\\n# Get forward template and pipe with modifications\\nhimalaya template forward 42 | sed 's/^To:.*/To: newrecipient@example.com/' | himalaya template send\\n```\\n\\n### Write a New Email\\n\\n**Non-interactive (use this from Hermes)** — pipe the message via stdin:\\n\\n```bash\\ncat << 'EOF' | himalaya template send\\nFrom: you@example.com\\nTo: recipient@example.com\\nSubject: Test Message\\n\\nHello from Himalaya!\\nEOF\\n```\\n\\nOr with headers flag:\\n\\n```bash\\nhimalaya message write -H \\\"To:recipient@example.com\\\" -H \\\"Subject:Test\\\" \\\"Message body here\\\"\\n```\\n\\nNote: `himalaya message write` without piped input opens `$EDITOR`. This works with `pty=true` + background mode, but piping is simpler and more reliable.\\n\\n### Move/Copy Emails\\n\\nMove to folder:\\n\\n```bash\\nhimalaya message move 42 \\\"Archive\\\"\\n```\\n\\nCopy to folder:\\n\\n```bash\\nhimalaya message copy 42 \\\"Important\\\"\\n```\\n\\n### Delete an Email\\n\\n```bash\\nhimalaya message delete 42\\n```\\n\\n### Manage Flags\\n\\nAdd flag:\\n\\n```bash\\nhimalaya flag add 42 --flag seen\\n```\\n\\nRemove flag:\\n\\n```bash\\nhimalaya flag remove 42 --flag seen\\n```\\n\\n## Multiple Accounts\\n\\nList accounts:\\n\\n```bash\\nhimalaya account list\\n```\\n\\nUse a specific account:\\n\\n```bash\\nhimalaya --account work envelope list\\n```\\n\\n## Attachments\\n\\nSave attachments from a message:\\n\\n```bash\\nhimalaya attachment download 42\\n```\\n\\nSave to specific directory:\\n\\n```bash\\nhimalaya attachment download 42 --dir ~/Downloads\\n```\\n\\n## Output Formats\\n\\nMost commands support `--output` for structured output:\\n\\n```bash\\nhimalaya envelope list --output json\\nhimalaya envelope list --output plain\\n```\\n\\n## Debugging\\n\\nEnable debug logging:\\n\\n```bash\\nRUST_LOG=debug himalaya envelope list\\n```\\n\\nFull trace with backtrace:\\n\\n```bash\\nRUST_LOG=trace RUST_BACKTRACE=1 himalaya envelope list\\n```\\n\\n## Tips\\n\\n- Use `himalaya --help` or `himalaya --help` for detailed usage.\\n- Message IDs are relative to the current folder; re-list after folder changes.\\n- For composing rich emails with attachments, use MML syntax (see `references/message-composition.md`).\\n- Store passwords securely using `pass`, system keyring, or a command that outputs the password.\\n\", \"path\": \"email/himalaya/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/email/himalaya\", \"linked_files\": {\"references\": [\"references/message-composition.md\", \"references/configuration.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"Email\", \"IMAP\", \"SMTP\", \"CLI\", \"Communication\"], \"homepage\": \"https://github.com/pimalaya/himalaya\"}}}", "tool_call_id": "call_function_0qki9180e6ay_1" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"minecraft-modpack-server\", \"description\": \"Host modded Minecraft servers (CurseForge, Modrinth).\", \"tags\": [\"minecraft\", \"gaming\", \"server\", \"neoforge\", \"forge\", \"modpack\"], \"related_skills\": [], \"content\": \"---\\nname: minecraft-modpack-server\\ndescription: \\\"Host modded Minecraft servers (CurseForge, Modrinth).\\\"\\ntags: [minecraft, gaming, server, neoforge, forge, modpack]\\nplatforms: [linux, macos]\\n---\\n\\n# Minecraft Modpack Server Setup\\n\\n## When to use\\n- User wants to set up a modded Minecraft server from a server pack zip\\n- User needs help with NeoForge/Forge server configuration\\n- User asks about Minecraft server performance tuning or backups\\n\\n## Gather User Preferences First\\nBefore starting setup, ask the user for:\\n- **Server name / MOTD** — what should it say in the server list?\\n- **Seed** — specific seed or random?\\n- **Difficulty** — peaceful / easy / normal / hard?\\n- **Gamemode** — survival / creative / adventure?\\n- **Online mode** — true (Mojang auth, legit accounts) or false (LAN/cracked friendly)?\\n- **Player count** — how many players expected? (affects RAM & view distance tuning)\\n- **RAM allocation** — or let agent decide based on mod count & available RAM?\\n- **View distance / simulation distance** — or let agent pick based on player count & hardware?\\n- **PvP** — on or off?\\n- **Whitelist** — open server or whitelist only?\\n- **Backups** — want automated backups? How often?\\n\\nUse sensible defaults if the user doesn't care, but always ask before generating the config.\\n\\n## Steps\\n\\n### 1. Download & Inspect the Pack\\n```bash\\nmkdir -p ~/minecraft-server\\ncd ~/minecraft-server\\nwget -O serverpack.zip \\\"\\\"\\nunzip -o serverpack.zip -d server\\nls server/\\n```\\nLook for: `startserver.sh`, installer jar (neoforge/forge), `user_jvm_args.txt`, `mods/` folder.\\nCheck the script to determine: mod loader type, version, and required Java version.\\n\\n### 2. Install Java\\n- Minecraft 1.21+ → Java 21: `sudo apt install openjdk-21-jre-headless`\\n- Minecraft 1.18-1.20 → Java 17: `sudo apt install openjdk-17-jre-headless`\\n- Minecraft 1.16 and below → Java 8: `sudo apt install openjdk-8-jre-headless`\\n- Verify: `java -version`\\n\\n### 3. Install the Mod Loader\\nMost server packs include an install script. Use the INSTALL_ONLY env var to install without launching:\\n```bash\\ncd ~/minecraft-server/server\\nATM10_INSTALL_ONLY=true bash startserver.sh\\n# Or for generic Forge packs:\\n# java -jar forge-*-installer.jar --installServer\\n```\\nThis downloads libraries, patches the server jar, etc.\\n\\n### 4. Accept EULA\\n```bash\\necho \\\"eula=true\\\" > ~/minecraft-server/server/eula.txt\\n```\\n\\n### 5. Configure server.properties\\nKey settings for modded/LAN:\\n```properties\\nmotd=\\\\u00a7b\\\\u00a7lServer Name \\\\u00a7r\\\\u00a78| \\\\u00a7aModpack Name\\nserver-port=25565\\nonline-mode=true # false for LAN without Mojang auth\\nenforce-secure-profile=true # match online-mode\\ndifficulty=hard # most modpacks balance around hard\\nallow-flight=true # REQUIRED for modded (flying mounts/items)\\nspawn-protection=0 # let everyone build at spawn\\nmax-tick-time=180000 # modded needs longer tick timeout\\nenable-command-block=true\\n```\\n\\nPerformance settings (scale to hardware):\\n```properties\\n# 2 players, beefy machine:\\nview-distance=16\\nsimulation-distance=10\\n\\n# 4-6 players, moderate machine:\\nview-distance=10\\nsimulation-distance=6\\n\\n# 8+ players or weaker hardware:\\nview-distance=8\\nsimulation-distance=4\\n```\\n\\n### 6. Tune JVM Args (user_jvm_args.txt)\\nScale RAM to player count and mod count. Rule of thumb for modded:\\n- 100-200 mods: 6-12GB\\n- 200-350+ mods: 12-24GB\\n- Leave at least 8GB free for the OS/other tasks\\n\\n```\\n-Xms12G\\n-Xmx24G\\n-XX:+UseG1GC\\n-XX:+ParallelRefProcEnabled\\n-XX:MaxGCPauseMillis=200\\n-XX:+UnlockExperimentalVMOptions\\n-XX:+DisableExplicitGC\\n-XX:+AlwaysPreTouch\\n-XX:G1NewSizePercent=30\\n-XX:G1MaxNewSizePercent=40\\n-XX:G1HeapRegionSize=8M\\n-XX:G1ReservePercent=20\\n-XX:G1HeapWastePercent=5\\n-XX:G1MixedGCCountTarget=4\\n-XX:InitiatingHeapOccupancyPercent=15\\n-XX:G1MixedGCLiveThresholdPercent=90\\n-XX:G1RSetUpdatingPauseTimePercent=5\\n-XX:SurvivorRatio=32\\n-XX:+PerfDisableSharedMem\\n-XX:MaxTenuringThreshold=1\\n```\\n\\n### 7. Open Firewall\\n```bash\\nsudo ufw allow 25565/tcp comment \\\"Minecraft Server\\\"\\n```\\nCheck with: `sudo ufw status | grep 25565`\\n\\n### 8. Create Launch Script\\n```bash\\ncat > ~/start-minecraft.sh << 'EOF'\\n#!/bin/bash\\ncd ~/minecraft-server/server\\njava @user_jvm_args.txt @libraries/net/neoforged/neoforge//unix_args.txt nogui\\nEOF\\nchmod +x ~/start-minecraft.sh\\n```\\nNote: For Forge (not NeoForge), the args file path differs. Check `startserver.sh` for the exact path.\\n\\n### 9. Set Up Automated Backups\\nCreate backup script:\\n```bash\\ncat > ~/minecraft-server/backup.sh << 'SCRIPT'\\n#!/bin/bash\\nSERVER_DIR=\\\"$HOME/minecraft-server/server\\\"\\nBACKUP_DIR=\\\"$HOME/minecraft-server/backups\\\"\\nWORLD_DIR=\\\"$SERVER_DIR/world\\\"\\nMAX_BACKUPS=24\\nmkdir -p \\\"$BACKUP_DIR\\\"\\n[ ! -d \\\"$WORLD_DIR\\\" ] && echo \\\"[BACKUP] No world folder\\\" && exit 0\\nTIMESTAMP=$(date +%Y-%m-%d_%H-%M-%S)\\nBACKUP_FILE=\\\"$BACKUP_DIR/world_${TIMESTAMP}.tar.gz\\\"\\necho \\\"[BACKUP] Starting at $(date)\\\"\\ntar -czf \\\"$BACKUP_FILE\\\" -C \\\"$SERVER_DIR\\\" world\\nSIZE=$(du -h \\\"$BACKUP_FILE\\\" | cut -f1)\\necho \\\"[BACKUP] Saved: $BACKUP_FILE ($SIZE)\\\"\\nBACKUP_COUNT=$(ls -1t \\\"$BACKUP_DIR\\\"/world_*.tar.gz 2>/dev/null | wc -l)\\nif [ \\\"$BACKUP_COUNT\\\" -gt \\\"$MAX_BACKUPS\\\" ]; then\\n REMOVE=$((BACKUP_COUNT - MAX_BACKUPS))\\n ls -1t \\\"$BACKUP_DIR\\\"/world_*.tar.gz | tail -n \\\"$REMOVE\\\" | xargs rm -f\\n echo \\\"[BACKUP] Pruned $REMOVE old backup(s)\\\"\\nfi\\necho \\\"[BACKUP] Done at $(date)\\\"\\nSCRIPT\\nchmod +x ~/minecraft-server/backup.sh\\n```\\n\\nAdd hourly cron:\\n```bash\\n(crontab -l 2>/dev/null | grep -v \\\"minecraft/backup.sh\\\"; echo \\\"0 * * * * $HOME/minecraft-server/backup.sh >> $HOME/minecraft-server/backups/backup.log 2>&1\\\") | crontab -\\n```\\n\\n## Pitfalls\\n- ALWAYS set `allow-flight=true` for modded — mods with jetpacks/flight will kick players otherwise\\n- `max-tick-time=180000` or higher — modded servers often have long ticks during worldgen\\n- First startup is SLOW (several minutes for big packs) — don't panic\\n- \\\"Can't keep up!\\\" warnings on first launch are normal, settles after initial chunk gen\\n- If online-mode=false, set enforce-secure-profile=false too or clients get rejected\\n- The pack's startserver.sh often has an auto-restart loop — make a clean launch script without it\\n- Delete the world/ folder to regenerate with a new seed\\n- Some packs have env vars to control behavior (e.g., ATM10 uses ATM10_JAVA, ATM10_RESTART, ATM10_INSTALL_ONLY)\\n\\n## Verification\\n- `pgrep -fa neoforge` or `pgrep -fa minecraft` to check if running\\n- Check logs: `tail -f ~/minecraft-server/server/logs/latest.log`\\n- Look for \\\"Done (Xs)!\\\" in the log = server is ready\\n- Test connection: player adds server IP in Multiplayer\\n\", \"path\": \"gaming/minecraft-modpack-server/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/gaming/minecraft-modpack-server\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_function_0qki9180e6ay_2" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"pokemon-player\", \"description\": \"Play Pokemon via headless emulator + RAM reads.\", \"tags\": [\"gaming\", \"pokemon\", \"emulator\", \"pyboy\", \"gameplay\", \"gameboy\"], \"related_skills\": [], \"content\": \"---\\nname: pokemon-player\\ndescription: \\\"Play Pokemon via headless emulator + RAM reads.\\\"\\ntags: [gaming, pokemon, emulator, pyboy, gameplay, gameboy]\\nplatforms: [linux, macos, windows]\\n---\\n# Pokemon Player\\n\\nPlay Pokemon games via headless emulation using the `pokemon-agent` package.\\n\\n## When to Use\\n- User says \\\"play pokemon\\\", \\\"start pokemon\\\", \\\"pokemon game\\\"\\n- User asks about Pokemon Red, Blue, Yellow, FireRed, etc.\\n- User wants to watch an AI play Pokemon\\n- User references a ROM file (.gb, .gbc, .gba)\\n\\n## Startup Procedure\\n\\n### 1. First-time setup (clone, venv, install)\\nThe repo is NousResearch/pokemon-agent on GitHub. Clone it, then\\nset up a Python 3.10+ virtual environment. Use uv (preferred for speed)\\nto create the venv and install the package in editable mode with the\\npyboy extra. If uv is not available, fall back to python3 -m venv + pip.\\n\\nOn this machine it is already set up at /home/teknium/pokemon-agent\\nwith a venv ready — just cd there and source .venv/bin/activate.\\n\\nYou also need a ROM file. Ask the user for theirs. On this machine\\none exists at roms/pokemon_red.gb inside that directory.\\nNEVER download or provide ROM files — always ask the user.\\n\\n### 2. Start the game server\\nFrom inside the pokemon-agent directory with the venv activated, run\\npokemon-agent serve with --rom pointing to the ROM and --port 9876.\\nRun it in the background with &.\\nTo resume from a saved game, add --load-state with the save name.\\nWait 4 seconds for startup, then verify with GET /health.\\n\\n### 3. Set up live dashboard for user to watch\\nUse an SSH reverse tunnel via localhost.run so the user can view\\nthe dashboard in their browser. Connect with ssh, forwarding local\\nport 9876 to remote port 80 on nokey@localhost.run. Redirect output\\nto a log file, wait 10 seconds, then grep the log for the .lhr.life\\nURL. Give the user the URL with /dashboard/ appended.\\nThe tunnel URL changes each time — give the user the new one if restarted.\\n\\n## Save and Load\\n\\n### When to save\\n- Every 15-20 turns of gameplay\\n- ALWAYS before gym battles, rival encounters, or risky fights\\n- Before entering a new town or dungeon\\n- Before any action you are unsure about\\n\\n### How to save\\nPOST /save with a descriptive name. Good examples:\\nbefore_brock, route1_start, mt_moon_entrance, got_cut\\n\\n### How to load\\nPOST /load with the save name.\\n\\n### List available saves\\nGET /saves returns all saved states.\\n\\n### Loading on server startup\\nUse --load-state flag when starting the server to auto-load a save.\\nThis is faster than loading via the API after startup.\\n\\n## The Gameplay Loop\\n\\n### Step 1: OBSERVE — check state AND take a screenshot\\nGET /state for position, HP, battle, dialog.\\nGET /screenshot and save to /tmp/pokemon.png, then use vision_analyze.\\nAlways do BOTH — RAM state gives numbers, vision gives spatial awareness.\\n\\n### Step 2: ORIENT\\n- Dialog/text on screen → advance it\\n- In battle → fight or run\\n- Party hurt → head to Pokemon Center\\n- Near objective → navigate carefully\\n\\n### Step 3: DECIDE\\nPriority: dialog > battle > heal > story objective > training > explore\\n\\n### Step 4: ACT — move 2-4 steps max, then re-check\\nPOST /action with a SHORT action list (2-4 actions, not 10-15).\\n\\n### Step 5: VERIFY — screenshot after every move sequence\\nTake a screenshot and use vision_analyze to confirm you moved where\\nintended. This is the MOST IMPORTANT step. Without vision you WILL get lost.\\n\\n### Step 6: RECORD progress to memory with PKM: prefix\\n\\n### Step 7: SAVE periodically\\n\\n## Action Reference\\n- press_a — confirm, talk, select\\n- press_b — cancel, close menu\\n- press_start — open game menu\\n- walk_up/down/left/right — move one tile\\n- hold_b_N — hold B for N frames (use for speeding through text)\\n- wait_60 — wait about 1 second (60 frames)\\n- a_until_dialog_end — press A repeatedly until dialog clears\\n\\n## Critical Tips from Experience\\n\\n### USE VISION CONSTANTLY\\n- Take a screenshot every 2-4 movement steps\\n- The RAM state tells you position and HP but NOT what is around you\\n- Ledges, fences, signs, building doors, NPCs — only visible via screenshot\\n- Ask the vision model specific questions: \\\"what is one tile north of me?\\\"\\n- When stuck, always screenshot before trying random directions\\n\\n### Warp Transitions Need Extra Wait Time\\nWhen walking through a door or stairs, the screen fades to black during\\nthe map transition. You MUST wait for it to complete. Add 2-3 wait_60\\nactions after any door/stair warp. Without waiting, the position reads\\nas stale and you will think you are still in the old map.\\n\\n### Building Exit Trap\\nWhen you exit a building, you appear directly IN FRONT of the door.\\nIf you walk north, you go right back inside. ALWAYS sidestep first\\nby walking left or right 2 tiles, then proceed in your intended direction.\\n\\n### Dialog Handling\\nGen 1 text scrolls slowly letter-by-letter. To speed through dialog,\\nhold B for 120 frames then press A. Repeat as needed. Holding B makes\\ntext display at max speed. Then press A to advance to the next line.\\nThe a_until_dialog_end action checks the RAM dialog flag, but this flag\\ndoes not catch ALL text states. If dialog seems stuck, use the manual\\nhold_b + press_a pattern instead and verify via screenshot.\\n\\n### Ledges Are One-Way\\nLedges (small cliff edges) can only be jumped DOWN (south), never climbed\\nUP (north). If blocked by a ledge going north, you must go left or right\\nto find the gap around it. Use vision to identify which direction the\\ngap is. Ask the vision model explicitly.\\n\\n### Navigation Strategy\\n- Move 2-4 steps at a time, then screenshot to check position\\n- When entering a new area, screenshot immediately to orient\\n- Ask the vision model \\\"which direction to [destination]?\\\"\\n- If stuck for 3+ attempts, screenshot and re-evaluate completely\\n- Do not spam 10-15 movements — you will overshoot or get stuck\\n\\n### Running from Wild Battles\\nOn the battle menu, RUN is bottom-right. To reach it from the default\\ncursor position (FIGHT, top-left): press down then right to move cursor\\nto RUN, then press A. Wrap with hold_b to speed through text/animations.\\n\\n### Battling (FIGHT)\\nOn the battle menu FIGHT is top-left (default cursor position).\\nPress A to enter move selection, A again to use the first move.\\nThen hold B to speed through attack animations and text.\\n\\n## Battle Strategy\\n\\n### Decision Tree\\n1. Want to catch? → Weaken then throw Poke Ball\\n2. Wild you don't need? → RUN\\n3. Type advantage? → Use super-effective move\\n4. No advantage? → Use strongest STAB move\\n5. Low HP? → Switch or use Potion\\n\\n### Gen 1 Type Chart (key matchups)\\n- Water beats Fire, Ground, Rock\\n- Fire beats Grass, Bug, Ice\\n- Grass beats Water, Ground, Rock\\n- Electric beats Water, Flying\\n- Ground beats Fire, Electric, Rock, Poison\\n- Psychic beats Fighting, Poison (dominant in Gen 1!)\\n\\n### Gen 1 Quirks\\n- Special stat = both offense AND defense for special moves\\n- Psychic type is overpowered (Ghost moves bugged)\\n- Critical hits based on Speed stat\\n- Wrap/Bind prevent opponent from acting\\n- Focus Energy bug: REDUCES crit rate instead of raising it\\n\\n## Memory Conventions\\n| Prefix | Purpose | Example |\\n|--------|---------|---------|\\n| PKM:OBJECTIVE | Current goal | Get Parcel from Viridian Mart |\\n| PKM:MAP | Navigation knowledge | Viridian: mart is northeast |\\n| PKM:STRATEGY | Battle/team plans | Need Grass type before Misty |\\n| PKM:PROGRESS | Milestone tracker | Beat rival, heading to Viridian |\\n| PKM:STUCK | Stuck situations | Ledge at y=28 go right to bypass |\\n| PKM:TEAM | Team notes | Squirtle Lv6, Tackle + Tail Whip |\\n\\n## Progression Milestones\\n- Choose starter\\n- Deliver Parcel from Viridian Mart, receive Pokedex\\n- Boulder Badge — Brock (Rock) → use Water/Grass\\n- Cascade Badge — Misty (Water) → use Grass/Electric\\n- Thunder Badge — Lt. Surge (Electric) → use Ground\\n- Rainbow Badge — Erika (Grass) → use Fire/Ice/Flying\\n- Soul Badge — Koga (Poison) → use Ground/Psychic\\n- Marsh Badge — Sabrina (Psychic) → hardest gym\\n- Volcano Badge — Blaine (Fire) → use Water/Ground\\n- Earth Badge — Giovanni (Ground) → use Water/Grass/Ice\\n- Elite Four → Champion!\\n\\n## Stopping Play\\n1. Save the game with a descriptive name via POST /save\\n2. Update memory with PKM:PROGRESS\\n3. Tell user: \\\"Game saved as [name]! Say 'play pokemon' to resume.\\\"\\n4. Kill the server and tunnel background processes\\n\\n## Pitfalls\\n- NEVER download or provide ROM files\\n- Do NOT send more than 4-5 actions without checking vision\\n- Always sidestep after exiting buildings before going north\\n- Always add wait_60 x2-3 after door/stair warps\\n- Dialog detection via RAM is unreliable — verify with screenshots\\n- Save BEFORE risky encounters\\n- The tunnel URL changes each time you restart it\\n\", \"path\": \"gaming/pokemon-player/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/gaming/pokemon-player\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_function_0qki9180e6ay_3" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"codebase-inspection\", \"description\": \"Inspect codebases w/ pygount: LOC, languages, ratios.\", \"tags\": [\"LOC\", \"Code Analysis\", \"pygount\", \"Codebase\", \"Metrics\", \"Repository\"], \"related_skills\": [\"github-repo-management\"], \"content\": \"---\\nname: codebase-inspection\\ndescription: \\\"Inspect codebases w/ pygount: LOC, languages, ratios.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [LOC, Code Analysis, pygount, Codebase, Metrics, Repository]\\n related_skills: [github-repo-management]\\nprerequisites:\\n commands: [pygount]\\n---\\n\\n# Codebase Inspection with pygount\\n\\nAnalyze repositories for lines of code, language breakdown, file counts, and code-vs-comment ratios using `pygount`.\\n\\n## When to Use\\n\\n- User asks for LOC (lines of code) count\\n- User wants a language breakdown of a repo\\n- User asks about codebase size or composition\\n- User wants code-vs-comment ratios\\n- General \\\"how big is this repo\\\" questions\\n\\n## Prerequisites\\n\\n```bash\\npip install --break-system-packages pygount 2>/dev/null || pip install pygount\\n```\\n\\n## 1. Basic Summary (Most Common)\\n\\nGet a full language breakdown with file counts, code lines, and comment lines:\\n\\n```bash\\ncd /path/to/repo\\npygount --format=summary \\\\\\n --folders-to-skip=\\\".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,.eggs,*.egg-info\\\" \\\\\\n .\\n```\\n\\n**IMPORTANT:** Always use `--folders-to-skip` to exclude dependency/build directories, otherwise pygount will crawl them and take a very long time or hang.\\n\\n## 2. Common Folder Exclusions\\n\\nAdjust based on the project type:\\n\\n```bash\\n# Python projects\\n--folders-to-skip=\\\".git,venv,.venv,__pycache__,.cache,dist,build,.tox,.eggs,.mypy_cache\\\"\\n\\n# JavaScript/TypeScript projects\\n--folders-to-skip=\\\".git,node_modules,dist,build,.next,.cache,.turbo,coverage\\\"\\n\\n# General catch-all\\n--folders-to-skip=\\\".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,vendor,third_party\\\"\\n```\\n\\n## 3. Filter by Specific Language\\n\\n```bash\\n# Only count Python files\\npygount --suffix=py --format=summary .\\n\\n# Only count Python and YAML\\npygount --suffix=py,yaml,yml --format=summary .\\n```\\n\\n## 4. Detailed File-by-File Output\\n\\n```bash\\n# Default format shows per-file breakdown\\npygount --folders-to-skip=\\\".git,node_modules,venv\\\" .\\n\\n# Sort by code lines (pipe through sort)\\npygount --folders-to-skip=\\\".git,node_modules,venv\\\" . | sort -t$'\\\\t' -k1 -nr | head -20\\n```\\n\\n## 5. Output Formats\\n\\n```bash\\n# Summary table (default recommendation)\\npygount --format=summary .\\n\\n# JSON output for programmatic use\\npygount --format=json .\\n\\n# Pipe-friendly: Language, file count, code, docs, empty, string\\npygount --format=summary . 2>/dev/null\\n```\\n\\n## 6. Interpreting Results\\n\\nThe summary table columns:\\n- **Language** — detected programming language\\n- **Files** — number of files of that language\\n- **Code** — lines of actual code (executable/declarative)\\n- **Comment** — lines that are comments or documentation\\n- **%** — percentage of total\\n\\nSpecial pseudo-languages:\\n- `__empty__` — empty files\\n- `__binary__` — binary files (images, compiled, etc.)\\n- `__generated__` — auto-generated files (detected heuristically)\\n- `__duplicate__` — files with identical content\\n- `__unknown__` — unrecognized file types\\n\\n## Pitfalls\\n\\n1. **Always exclude .git, node_modules, venv** — without `--folders-to-skip`, pygount will crawl everything and may take minutes or hang on large dependency trees.\\n2. **Markdown shows 0 code lines** — pygount classifies all Markdown content as comments, not code. This is expected behavior.\\n3. **JSON files show low code counts** — pygount may count JSON lines conservatively. For accurate JSON line counts, use `wc -l` directly.\\n4. **Large monorepos** — for very large repos, consider using `--suffix` to target specific languages rather than scanning everything.\\n\", \"path\": \"github/codebase-inspection/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/github/codebase-inspection\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"LOC\", \"Code Analysis\", \"pygount\", \"Codebase\", \"Metrics\", \"Repository\"], \"related_skills\": [\"github-repo-management\"]}}}", "tool_call_id": "call_function_0qki9180e6ay_4" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"github-auth\", \"description\": \"GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\", \"tags\": [\"GitHub\", \"Authentication\", \"Git\", \"gh-cli\", \"SSH\", \"Setup\"], \"related_skills\": [\"github-pr-workflow\", \"github-code-review\", \"github-issues\", \"github-repo-management\"], \"content\": \"---\\nname: github-auth\\ndescription: \\\"GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [GitHub, Authentication, Git, gh-cli, SSH, Setup]\\n related_skills: [github-pr-workflow, github-code-review, github-issues, github-repo-management]\\n---\\n\\n# GitHub Authentication Setup\\n\\nThis skill sets up authentication so the agent can work with GitHub repositories, PRs, issues, and CI. It covers two paths:\\n\\n- **`git` (always available)** — uses HTTPS personal access tokens or SSH keys\\n- **`gh` CLI (if installed)** — richer GitHub API access with a simpler auth flow\\n\\n## Detection Flow\\n\\nWhen a user asks you to work with GitHub, run this check first:\\n\\n```bash\\n# Check what's available\\ngit --version\\ngh --version 2>/dev/null || echo \\\"gh not installed\\\"\\n\\n# Check if already authenticated\\ngh auth status 2>/dev/null || echo \\\"gh not authenticated\\\"\\ngit config --global credential.helper 2>/dev/null || echo \\\"no git credential helper\\\"\\n```\\n\\n**Decision tree:**\\n1. If `gh auth status` shows authenticated → you're good, use `gh` for everything\\n2. If `gh` is installed but not authenticated → use \\\"gh auth\\\" method below\\n3. If `gh` is not installed → use \\\"git-only\\\" method below (no sudo needed)\\n\\n---\\n\\n## Method 1: Git-Only Authentication (No gh, No sudo)\\n\\nThis works on any machine with `git` installed. No root access needed.\\n\\n### Option A: HTTPS with Personal Access Token (Recommended)\\n\\nThis is the most portable method — works everywhere, no SSH config needed.\\n\\n**Step 1: Create a personal access token**\\n\\nTell the user to go to: **https://github.com/settings/tokens**\\n\\n- Click \\\"Generate new token (classic)\\\"\\n- Give it a name like \\\"hermes-agent\\\"\\n- Select scopes:\\n - `repo` (full repository access — read, write, push, PRs)\\n - `workflow` (trigger and manage GitHub Actions)\\n - `read:org` (if working with organization repos)\\n- Set expiration (90 days is a good default)\\n- Copy the token — it won't be shown again\\n\\n**Step 2: Configure git to store the token**\\n\\n```bash\\n# Set up the credential helper to cache credentials\\n# \\\"store\\\" saves to ~/.git-credentials in plaintext (simple, persistent)\\ngit config --global credential.helper store\\n\\n# Now do a test operation that triggers auth — git will prompt for credentials\\n# Username: \\n# Password: \\ngit ls-remote https://github.com//.git\\n```\\n\\nAfter entering credentials once, they're saved and reused for all future operations.\\n\\n**Alternative: cache helper (credentials expire from memory)**\\n\\n```bash\\n# Cache in memory for 8 hours (28800 seconds) instead of saving to disk\\ngit config --global credential.helper 'cache --timeout=28800'\\n```\\n\\n**Alternative: set the token directly in the remote URL (per-repo)**\\n\\n```bash\\n# Embed token in the remote URL (avoids credential prompts entirely)\\ngit remote set-url origin https://:@github.com//.git\\n```\\n\\n**Step 3: Configure git identity**\\n\\n```bash\\n# Required for commits — set name and email\\ngit config --global user.name \\\"Their Name\\\"\\ngit config --global user.email \\\"their-email@example.com\\\"\\n```\\n\\n**Step 4: Verify**\\n\\n```bash\\n# Test push access (this should work without any prompts now)\\ngit ls-remote https://github.com//.git\\n\\n# Verify identity\\ngit config --global user.name\\ngit config --global user.email\\n```\\n\\n### Option B: SSH Key Authentication\\n\\nGood for users who prefer SSH or already have keys set up.\\n\\n**Step 1: Check for existing SSH keys**\\n\\n```bash\\nls -la ~/.ssh/id_*.pub 2>/dev/null || echo \\\"No SSH keys found\\\"\\n```\\n\\n**Step 2: Generate a key if needed**\\n\\n```bash\\n# Generate an ed25519 key (modern, secure, fast)\\nssh-keygen -t ed25519 -C \\\"their-email@example.com\\\" -f ~/.ssh/id_ed25519 -N \\\"\\\"\\n\\n# Display the public key for them to add to GitHub\\ncat ~/.ssh/id_ed25519.pub\\n```\\n\\nTell the user to add the public key at: **https://github.com/settings/keys**\\n- Click \\\"New SSH key\\\"\\n- Paste the public key content\\n- Give it a title like \\\"hermes-agent-\\\"\\n\\n**Step 3: Test the connection**\\n\\n```bash\\nssh -T git@github.com\\n# Expected: \\\"Hi ! You've successfully authenticated...\\\"\\n```\\n\\n**Step 4: Configure git to use SSH for GitHub**\\n\\n```bash\\n# Rewrite HTTPS GitHub URLs to SSH automatically\\ngit config --global url.\\\"git@github.com:\\\".insteadOf \\\"https://github.com/\\\"\\n```\\n\\n**Step 5: Configure git identity**\\n\\n```bash\\ngit config --global user.name \\\"Their Name\\\"\\ngit config --global user.email \\\"their-email@example.com\\\"\\n```\\n\\n---\\n\\n## Method 2: gh CLI Authentication\\n\\nIf `gh` is installed, it handles both API access and git credentials in one step.\\n\\n### Interactive Browser Login (Desktop)\\n\\n```bash\\ngh auth login\\n# Select: GitHub.com\\n# Select: HTTPS\\n# Authenticate via browser\\n```\\n\\n### Token-Based Login (Headless / SSH Servers)\\n\\n```bash\\necho \\\"\\\" | gh auth login --with-token\\n\\n# Set up git credentials through gh\\ngh auth setup-git\\n```\\n\\n### Verify\\n\\n```bash\\ngh auth status\\n```\\n\\n---\\n\\n## Using the GitHub API Without gh\\n\\nWhen `gh` is not available, you can still access the full GitHub API using `curl` with a personal access token. This is how the other GitHub skills implement their fallbacks.\\n\\n### Setting the Token for API Calls\\n\\n```bash\\n# Option 1: Export as env var (preferred — keeps it out of commands)\\nexport GITHUB_TOKEN=\\\"\\\"\\n\\n# Then use in curl calls:\\ncurl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/user\\n```\\n\\n### Extracting the Token from Git Credentials\\n\\nIf git credentials are already configured (via credential.helper store), the token can be extracted:\\n\\n```bash\\n# Read from git credential store\\ngrep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|'\\n```\\n\\n### Helper: Detect Auth Method\\n\\nUse this pattern at the start of any GitHub workflow:\\n\\n```bash\\n# Try gh first, fall back to git + curl\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n echo \\\"AUTH_METHOD=gh\\\"\\nelif [ -n \\\"$GITHUB_TOKEN\\\" ]; then\\n echo \\\"AUTH_METHOD=curl\\\"\\nelif [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n export GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n echo \\\"AUTH_METHOD=curl\\\"\\nelif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n export GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n echo \\\"AUTH_METHOD=curl\\\"\\nelse\\n echo \\\"AUTH_METHOD=none\\\"\\n echo \\\"Need to set up authentication first\\\"\\nfi\\n```\\n\\n---\\n\\n## Troubleshooting\\n\\n| Problem | Solution |\\n|---------|----------|\\n| `git push` asks for password | GitHub disabled password auth. Use a personal access token as the password, or switch to SSH |\\n| `remote: Permission to X denied` | Token may lack `repo` scope — regenerate with correct scopes |\\n| `fatal: Authentication failed` | Cached credentials may be stale — run `git credential reject` then re-authenticate |\\n| `ssh: connect to host github.com port 22: Connection refused` | Try SSH over HTTPS port: add `Host github.com` with `Port 443` and `Hostname ssh.github.com` to `~/.ssh/config` |\\n| Credentials not persisting | Check `git config --global credential.helper` — must be `store` or `cache` |\\n| Multiple GitHub accounts | Use SSH with different keys per host alias in `~/.ssh/config`, or per-repo credential URLs |\\n| `gh: command not found` + no sudo | Use git-only Method 1 above — no installation needed |\\n\", \"path\": \"github/github-auth/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/github/github-auth\", \"linked_files\": {\"scripts\": [\"scripts/gh-env.sh\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Authentication\", \"Git\", \"gh-cli\", \"SSH\", \"Setup\"], \"related_skills\": [\"github-pr-workflow\", \"github-code-review\", \"github-issues\", \"github-repo-management\"]}}}", "tool_call_id": "call_function_0qki9180e6ay_5" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"github-code-review\", \"description\": \"Review PRs: diffs, inline comments via gh or REST.\", \"tags\": [\"GitHub\", \"Code-Review\", \"Pull-Requests\", \"Git\", \"Quality\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\"], \"content\": \"---\\nname: github-code-review\\ndescription: \\\"Review PRs: diffs, inline comments via gh or REST.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [GitHub, Code-Review, Pull-Requests, Git, Quality]\\n related_skills: [github-auth, github-pr-workflow]\\n---\\n\\n# GitHub Code Review\\n\\nPerform code reviews on local changes before pushing, or review open PRs on GitHub. Most of this skill uses plain `git` — the `gh`/`curl` split only matters for PR-level interactions.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n- Inside a git repository\\n\\n### Setup (for PR interactions)\\n\\n```bash\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n AUTH=\\\"gh\\\"\\nelse\\n AUTH=\\\"git\\\"\\n if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n fi\\n fi\\nfi\\n\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\n```\\n\\n---\\n\\n## 1. Reviewing Local Changes (Pre-Push)\\n\\nThis is pure `git` — works everywhere, no API needed.\\n\\n### Get the Diff\\n\\n```bash\\n# Staged changes (what would be committed)\\ngit diff --staged\\n\\n# All changes vs main (what a PR would contain)\\ngit diff main...HEAD\\n\\n# File names only\\ngit diff main...HEAD --name-only\\n\\n# Stat summary (insertions/deletions per file)\\ngit diff main...HEAD --stat\\n```\\n\\n### Review Strategy\\n\\n1. **Get the big picture first:**\\n\\n```bash\\ngit diff main...HEAD --stat\\ngit log main..HEAD --oneline\\n```\\n\\n2. **Review file by file** — use `read_file` on changed files for full context, and the diff to see what changed:\\n\\n```bash\\ngit diff main...HEAD -- src/auth/login.py\\n```\\n\\n3. **Check for common issues:**\\n\\n```bash\\n# Debug statements, TODOs, console.logs left behind\\ngit diff main...HEAD | grep -n \\\"print(\\\\|console\\\\.log\\\\|TODO\\\\|FIXME\\\\|HACK\\\\|XXX\\\\|debugger\\\"\\n\\n# Large files accidentally staged\\ngit diff main...HEAD --stat | sort -t'|' -k2 -rn | head -10\\n\\n# Secrets or credential patterns\\ngit diff main...HEAD | grep -in \\\"password\\\\|secret\\\\|api_key\\\\|token.*=\\\\|private_key\\\"\\n\\n# Merge conflict markers\\ngit diff main...HEAD | grep -n \\\"<<<<<<\\\\|>>>>>>\\\\|=======\\\"\\n```\\n\\n4. **Present structured feedback** to the user.\\n\\n### Review Output Format\\n\\nWhen reviewing local changes, present findings in this structure:\\n\\n```\\n## Code Review Summary\\n\\n### Critical\\n- **src/auth.py:45** — SQL injection: user input passed directly to query.\\n Suggestion: Use parameterized queries.\\n\\n### Warnings\\n- **src/models/user.py:23** — Password stored in plaintext. Use bcrypt or argon2.\\n- **src/api/routes.py:112** — No rate limiting on login endpoint.\\n\\n### Suggestions\\n- **src/utils/helpers.py:8** — Duplicates logic in `src/core/utils.py:34`. Consolidate.\\n- **tests/test_auth.py** — Missing edge case: expired token test.\\n\\n### Looks Good\\n- Clean separation of concerns in the middleware layer\\n- Good test coverage for the happy path\\n```\\n\\n---\\n\\n## 2. Reviewing a Pull Request on GitHub\\n\\n### View PR Details\\n\\n**With gh:**\\n\\n```bash\\ngh pr view 123\\ngh pr diff 123\\ngh pr diff 123 --name-only\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nPR_NUMBER=123\\n\\n# Get PR details\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \\\\\\n | python3 -c \\\"\\nimport sys, json\\npr = json.load(sys.stdin)\\nprint(f\\\\\\\"Title: {pr['title']}\\\\\\\")\\nprint(f\\\\\\\"Author: {pr['user']['login']}\\\\\\\")\\nprint(f\\\\\\\"Branch: {pr['head']['ref']} -> {pr['base']['ref']}\\\\\\\")\\nprint(f\\\\\\\"State: {pr['state']}\\\\\\\")\\nprint(f\\\\\\\"Body:\\\\n{pr['body']}\\\\\\\")\\\"\\n\\n# List changed files\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/files \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor f in json.load(sys.stdin):\\n print(f\\\\\\\"{f['status']:10} +{f['additions']:-4} -{f['deletions']:-4} {f['filename']}\\\\\\\")\\\"\\n```\\n\\n### Check Out PR Locally for Full Review\\n\\nThis works with plain `git` — no `gh` needed:\\n\\n```bash\\n# Fetch the PR branch and check it out\\ngit fetch origin pull/123/head:pr-123\\ngit checkout pr-123\\n\\n# Now you can use read_file, search_files, run tests, etc.\\n\\n# View diff against the base branch\\ngit diff main...pr-123\\n```\\n\\n**With gh (shortcut):**\\n\\n```bash\\ngh pr checkout 123\\n```\\n\\n### Leave Comments on a PR\\n\\n**General PR comment — with gh:**\\n\\n```bash\\ngh pr comment 123 --body \\\"Overall looks good, a few suggestions below.\\\"\\n```\\n\\n**General PR comment — with curl:**\\n\\n```bash\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/$PR_NUMBER/comments \\\\\\n -d '{\\\"body\\\": \\\"Overall looks good, a few suggestions below.\\\"}'\\n```\\n\\n### Leave Inline Review Comments\\n\\n**Single inline comment — with gh (via API):**\\n\\n```bash\\nHEAD_SHA=$(gh pr view 123 --json headRefOid --jq '.headRefOid')\\n\\ngh api repos/$OWNER/$REPO/pulls/123/comments \\\\\\n --method POST \\\\\\n -f body=\\\"This could be simplified with a list comprehension.\\\" \\\\\\n -f path=\\\"src/auth/login.py\\\" \\\\\\n -f commit_id=\\\"$HEAD_SHA\\\" \\\\\\n -f line=45 \\\\\\n -f side=\\\"RIGHT\\\"\\n```\\n\\n**Single inline comment — with curl:**\\n\\n```bash\\n# Get the head commit SHA\\nHEAD_SHA=$(curl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['head']['sha'])\\\")\\n\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/comments \\\\\\n -d \\\"{\\n \\\\\\\"body\\\\\\\": \\\\\\\"This could be simplified with a list comprehension.\\\\\\\",\\n \\\\\\\"path\\\\\\\": \\\\\\\"src/auth/login.py\\\\\\\",\\n \\\\\\\"commit_id\\\\\\\": \\\\\\\"$HEAD_SHA\\\\\\\",\\n \\\\\\\"line\\\\\\\": 45,\\n \\\\\\\"side\\\\\\\": \\\\\\\"RIGHT\\\\\\\"\\n }\\\"\\n```\\n\\n### Submit a Formal Review (Approve / Request Changes)\\n\\n**With gh:**\\n\\n```bash\\ngh pr review 123 --approve --body \\\"LGTM!\\\"\\ngh pr review 123 --request-changes --body \\\"See inline comments.\\\"\\ngh pr review 123 --comment --body \\\"Some suggestions, nothing blocking.\\\"\\n```\\n\\n**With curl — multi-comment review submitted atomically:**\\n\\n```bash\\nHEAD_SHA=$(curl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['head']['sha'])\\\")\\n\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/reviews \\\\\\n -d \\\"{\\n \\\\\\\"commit_id\\\\\\\": \\\\\\\"$HEAD_SHA\\\\\\\",\\n \\\\\\\"event\\\\\\\": \\\\\\\"COMMENT\\\\\\\",\\n \\\\\\\"body\\\\\\\": \\\\\\\"Code review from Hermes Agent\\\\\\\",\\n \\\\\\\"comments\\\\\\\": [\\n {\\\\\\\"path\\\\\\\": \\\\\\\"src/auth.py\\\\\\\", \\\\\\\"line\\\\\\\": 45, \\\\\\\"body\\\\\\\": \\\\\\\"Use parameterized queries to prevent SQL injection.\\\\\\\"},\\n {\\\\\\\"path\\\\\\\": \\\\\\\"src/models/user.py\\\\\\\", \\\\\\\"line\\\\\\\": 23, \\\\\\\"body\\\\\\\": \\\\\\\"Hash passwords with bcrypt before storing.\\\\\\\"},\\n {\\\\\\\"path\\\\\\\": \\\\\\\"tests/test_auth.py\\\\\\\", \\\\\\\"line\\\\\\\": 1, \\\\\\\"body\\\\\\\": \\\\\\\"Add test for expired token edge case.\\\\\\\"}\\n ]\\n }\\\"\\n```\\n\\nEvent values: `\\\"APPROVE\\\"`, `\\\"REQUEST_CHANGES\\\"`, `\\\"COMMENT\\\"`\\n\\nThe `line` field refers to the line number in the *new* version of the file. For deleted lines, use `\\\"side\\\": \\\"LEFT\\\"`.\\n\\n---\\n\\n## 3. Review Checklist\\n\\nWhen performing a code review (local or PR), systematically check:\\n\\n### Correctness\\n- Does the code do what it claims?\\n- Edge cases handled (empty inputs, nulls, large data, concurrent access)?\\n- Error paths handled gracefully?\\n\\n### Security\\n- No hardcoded secrets, credentials, or API keys\\n- Input validation on user-facing inputs\\n- No SQL injection, XSS, or path traversal\\n- Auth/authz checks where needed\\n\\n### Code Quality\\n- Clear naming (variables, functions, classes)\\n- No unnecessary complexity or premature abstraction\\n- DRY — no duplicated logic that should be extracted\\n- Functions are focused (single responsibility)\\n\\n### Testing\\n- New code paths tested?\\n- Happy path and error cases covered?\\n- Tests readable and maintainable?\\n\\n### Performance\\n- No N+1 queries or unnecessary loops\\n- Appropriate caching where beneficial\\n- No blocking operations in async code paths\\n\\n### Documentation\\n- Public APIs documented\\n- Non-obvious logic has comments explaining \\\"why\\\"\\n- README updated if behavior changed\\n\\n---\\n\\n## 4. Pre-Push Review Workflow\\n\\nWhen the user asks you to \\\"review the code\\\" or \\\"check before pushing\\\":\\n\\n1. `git diff main...HEAD --stat` — see scope of changes\\n2. `git diff main...HEAD` — read the full diff\\n3. For each changed file, use `read_file` if you need more context\\n4. Apply the checklist above\\n5. Present findings in the structured format (Critical / Warnings / Suggestions / Looks Good)\\n6. If critical issues found, offer to fix them before the user pushes\\n\\n---\\n\\n## 5. PR Review Workflow (End-to-End)\\n\\nWhen the user asks you to \\\"review PR #N\\\", \\\"look at this PR\\\", or gives you a PR URL, follow this recipe:\\n\\n### Step 1: Set up environment\\n\\n```bash\\nsource \\\"${HERMES_HOME:-$HOME/.hermes}/skills/github/github-auth/scripts/gh-env.sh\\\"\\n# Or run the inline setup block from the top of this skill\\n```\\n\\n### Step 2: Gather PR context\\n\\nGet the PR metadata, description, and list of changed files to understand scope before diving into code.\\n\\n**With gh:**\\n```bash\\ngh pr view 123\\ngh pr diff 123 --name-only\\ngh pr checks 123\\n```\\n\\n**With curl:**\\n```bash\\nPR_NUMBER=123\\n\\n# PR details (title, author, description, branch)\\ncurl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$GH_OWNER/$GH_REPO/pulls/$PR_NUMBER\\n\\n# Changed files with line counts\\ncurl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$GH_OWNER/$GH_REPO/pulls/$PR_NUMBER/files\\n```\\n\\n### Step 3: Check out the PR locally\\n\\nThis gives you full access to `read_file`, `search_files`, and the ability to run tests.\\n\\n```bash\\ngit fetch origin pull/$PR_NUMBER/head:pr-$PR_NUMBER\\ngit checkout pr-$PR_NUMBER\\n```\\n\\n### Step 4: Read the diff and understand changes\\n\\n```bash\\n# Full diff against the base branch\\ngit diff main...HEAD\\n\\n# Or file-by-file for large PRs\\ngit diff main...HEAD --name-only\\n# Then for each file:\\ngit diff main...HEAD -- path/to/file.py\\n```\\n\\nFor each changed file, use `read_file` to see full context around the changes — diffs alone can miss issues visible only with surrounding code.\\n\\n### Step 5: Run automated checks locally (if applicable)\\n\\n```bash\\n# Run tests if there's a test suite\\npython -m pytest 2>&1 | tail -20\\n# or: npm test, cargo test, go test ./..., etc.\\n\\n# Run linter if configured\\nruff check . 2>&1 | head -30\\n# or: eslint, clippy, etc.\\n```\\n\\n### Step 6: Apply the review checklist (Section 3)\\n\\nGo through each category: Correctness, Security, Code Quality, Testing, Performance, Documentation.\\n\\n### Step 7: Post the review to GitHub\\n\\nCollect your findings and submit them as a formal review with inline comments.\\n\\n**With gh:**\\n```bash\\n# If no issues — approve\\ngh pr review $PR_NUMBER --approve --body \\\"Reviewed by Hermes Agent. Code looks clean — good test coverage, no security concerns.\\\"\\n\\n# If issues found — request changes with inline comments\\ngh pr review $PR_NUMBER --request-changes --body \\\"Found a few issues — see inline comments.\\\"\\n```\\n\\n**With curl — atomic review with multiple inline comments:**\\n```bash\\nHEAD_SHA=$(curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$GH_OWNER/$GH_REPO/pulls/$PR_NUMBER \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['head']['sha'])\\\")\\n\\n# Build the review JSON — event is APPROVE, REQUEST_CHANGES, or COMMENT\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$GH_OWNER/$GH_REPO/pulls/$PR_NUMBER/reviews \\\\\\n -d \\\"{\\n \\\\\\\"commit_id\\\\\\\": \\\\\\\"$HEAD_SHA\\\\\\\",\\n \\\\\\\"event\\\\\\\": \\\\\\\"REQUEST_CHANGES\\\\\\\",\\n \\\\\\\"body\\\\\\\": \\\\\\\"## Hermes Agent Review\\\\n\\\\nFound 2 issues, 1 suggestion. See inline comments.\\\\\\\",\\n \\\\\\\"comments\\\\\\\": [\\n {\\\\\\\"path\\\\\\\": \\\\\\\"src/auth.py\\\\\\\", \\\\\\\"line\\\\\\\": 45, \\\\\\\"body\\\\\\\": \\\\\\\"🔴 **Critical:** User input passed directly to SQL query — use parameterized queries.\\\\\\\"},\\n {\\\\\\\"path\\\\\\\": \\\\\\\"src/models.py\\\\\\\", \\\\\\\"line\\\\\\\": 23, \\\\\\\"body\\\\\\\": \\\\\\\"⚠️ **Warning:** Password stored without hashing.\\\\\\\"},\\n {\\\\\\\"path\\\\\\\": \\\\\\\"src/utils.py\\\\\\\", \\\\\\\"line\\\\\\\": 8, \\\\\\\"body\\\\\\\": \\\\\\\"💡 **Suggestion:** This duplicates logic in core/utils.py:34.\\\\\\\"}\\n ]\\n }\\\"\\n```\\n\\n### Step 8: Also post a summary comment\\n\\nIn addition to inline comments, leave a top-level summary so the PR author gets the full picture at a glance. Use the review output format from `references/review-output-template.md`.\\n\\n**With gh:**\\n```bash\\ngh pr comment $PR_NUMBER --body \\\"$(cat <<'EOF'\\n## Code Review Summary\\n\\n**Verdict: Changes Requested** (2 issues, 1 suggestion)\\n\\n### 🔴 Critical\\n- **src/auth.py:45** — SQL injection vulnerability\\n\\n### ⚠️ Warnings\\n- **src/models.py:23** — Plaintext password storage\\n\\n### 💡 Suggestions\\n- **src/utils.py:8** — Duplicated logic, consider consolidating\\n\\n### ✅ Looks Good\\n- Clean API design\\n- Good error handling in the middleware layer\\n\\n---\\n*Reviewed by Hermes Agent*\\nEOF\\n)\\\"\\n```\\n\\n### Step 9: Clean up\\n\\n```bash\\ngit checkout main\\ngit branch -D pr-$PR_NUMBER\\n```\\n\\n### Decision: Approve vs Request Changes vs Comment\\n\\n- **Approve** — no critical or warning-level issues, only minor suggestions or all clear\\n- **Request Changes** — any critical or warning-level issue that should be fixed before merge\\n- **Comment** — observations and suggestions, but nothing blocking (use when you're unsure or the PR is a draft)\\n\", \"path\": \"github/github-code-review/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/github/github-code-review\", \"linked_files\": {\"references\": [\"references/review-output-template.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Code-Review\", \"Pull-Requests\", \"Git\", \"Quality\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\"]}}}", "tool_call_id": "call_function_0qki9180e6ay_6" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"github-issues\", \"description\": \"Create, triage, label, assign GitHub issues via gh or REST.\", \"tags\": [\"GitHub\", \"Issues\", \"Project-Management\", \"Bug-Tracking\", \"Triage\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\"], \"content\": \"---\\nname: github-issues\\ndescription: \\\"Create, triage, label, assign GitHub issues via gh or REST.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [GitHub, Issues, Project-Management, Bug-Tracking, Triage]\\n related_skills: [github-auth, github-pr-workflow]\\n---\\n\\n# GitHub Issues Management\\n\\nCreate, search, triage, and manage GitHub issues. Each section shows `gh` first, then the `curl` fallback.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n- Inside a git repo with a GitHub remote, or specify the repo explicitly\\n\\n### Setup\\n\\n```bash\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n AUTH=\\\"gh\\\"\\nelse\\n AUTH=\\\"git\\\"\\n if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n fi\\n fi\\nfi\\n\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\n```\\n\\n---\\n\\n## 1. Viewing Issues\\n\\n**With gh:**\\n\\n```bash\\ngh issue list\\ngh issue list --state open --label \\\"bug\\\"\\ngh issue list --assignee @me\\ngh issue list --search \\\"authentication error\\\" --state all\\ngh issue view 42\\n```\\n\\n**With curl:**\\n\\n```bash\\n# List open issues\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/repos/$OWNER/$REPO/issues?state=open&per_page=20\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor i in json.load(sys.stdin):\\n if 'pull_request' not in i: # GitHub API returns PRs in /issues too\\n labels = ', '.join(l['name'] for l in i['labels'])\\n print(f\\\\\\\"#{i['number']:5} {i['state']:6} {labels:30} {i['title']}\\\\\\\")\\\"\\n\\n# Filter by label\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/repos/$OWNER/$REPO/issues?state=open&labels=bug&per_page=20\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor i in json.load(sys.stdin):\\n if 'pull_request' not in i:\\n print(f\\\\\\\"#{i['number']} {i['title']}\\\\\\\")\\\"\\n\\n# View a specific issue\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/42 \\\\\\n | python3 -c \\\"\\nimport sys, json\\ni = json.load(sys.stdin)\\nlabels = ', '.join(l['name'] for l in i['labels'])\\nassignees = ', '.join(a['login'] for a in i['assignees'])\\nprint(f\\\\\\\"#{i['number']}: {i['title']}\\\\\\\")\\nprint(f\\\\\\\"State: {i['state']} Labels: {labels} Assignees: {assignees}\\\\\\\")\\nprint(f\\\\\\\"Author: {i['user']['login']} Created: {i['created_at']}\\\\\\\")\\nprint(f\\\\\\\"\\\\n{i['body']}\\\\\\\")\\\"\\n\\n# Search issues\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/search/issues?q=authentication+error+repo:$OWNER/$REPO\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor i in json.load(sys.stdin)['items']:\\n print(f\\\\\\\"#{i['number']} {i['state']:6} {i['title']}\\\\\\\")\\\"\\n```\\n\\n## 2. Creating Issues\\n\\n**With gh:**\\n\\n```bash\\ngh issue create \\\\\\n --title \\\"Login redirect ignores ?next= parameter\\\" \\\\\\n --body \\\"## Description\\nAfter logging in, users always land on /dashboard.\\n\\n## Steps to Reproduce\\n1. Navigate to /settings while logged out\\n2. Get redirected to /login?next=/settings\\n3. Log in\\n4. Actual: redirected to /dashboard (should go to /settings)\\n\\n## Expected Behavior\\nRespect the ?next= query parameter.\\\" \\\\\\n --label \\\"bug,backend\\\" \\\\\\n --assignee \\\"username\\\"\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues \\\\\\n -d '{\\n \\\"title\\\": \\\"Login redirect ignores ?next= parameter\\\",\\n \\\"body\\\": \\\"## Description\\\\nAfter logging in, users always land on /dashboard.\\\\n\\\\n## Steps to Reproduce\\\\n1. Navigate to /settings while logged out\\\\n2. Get redirected to /login?next=/settings\\\\n3. Log in\\\\n4. Actual: redirected to /dashboard\\\\n\\\\n## Expected Behavior\\\\nRespect the ?next= query parameter.\\\",\\n \\\"labels\\\": [\\\"bug\\\", \\\"backend\\\"],\\n \\\"assignees\\\": [\\\"username\\\"]\\n }'\\n```\\n\\n### Bug Report Template\\n\\n```\\n## Bug Description\\n\\n\\n## Steps to Reproduce\\n1. \\n2. \\n\\n## Expected Behavior\\n\\n\\n## Actual Behavior\\n\\n\\n## Environment\\n- OS: \\n- Version: \\n```\\n\\n### Feature Request Template\\n\\n```\\n## Feature Description\\n\\n\\n## Motivation\\n\\n\\n## Proposed Solution\\n\\n\\n## Alternatives Considered\\n\\n```\\n\\n## 3. Managing Issues\\n\\n### Add/Remove Labels\\n\\n**With gh:**\\n\\n```bash\\ngh issue edit 42 --add-label \\\"priority:high,bug\\\"\\ngh issue edit 42 --remove-label \\\"needs-triage\\\"\\n```\\n\\n**With curl:**\\n\\n```bash\\n# Add labels\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/42/labels \\\\\\n -d '{\\\"labels\\\": [\\\"priority:high\\\", \\\"bug\\\"]}'\\n\\n# Remove a label\\ncurl -s -X DELETE \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/42/labels/needs-triage\\n\\n# List available labels in the repo\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/labels \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor l in json.load(sys.stdin):\\n print(f\\\\\\\" {l['name']:30} {l.get('description', '')}\\\\\\\")\\\"\\n```\\n\\n### Assignment\\n\\n**With gh:**\\n\\n```bash\\ngh issue edit 42 --add-assignee username\\ngh issue edit 42 --add-assignee @me\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/42/assignees \\\\\\n -d '{\\\"assignees\\\": [\\\"username\\\"]}'\\n```\\n\\n### Commenting\\n\\n**With gh:**\\n\\n```bash\\ngh issue comment 42 --body \\\"Investigated — root cause is in auth middleware. Working on a fix.\\\"\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/42/comments \\\\\\n -d '{\\\"body\\\": \\\"Investigated — root cause is in auth middleware. Working on a fix.\\\"}'\\n```\\n\\n### Closing and Reopening\\n\\n**With gh:**\\n\\n```bash\\ngh issue close 42\\ngh issue close 42 --reason \\\"not planned\\\"\\ngh issue reopen 42\\n```\\n\\n**With curl:**\\n\\n```bash\\n# Close\\ncurl -s -X PATCH \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/42 \\\\\\n -d '{\\\"state\\\": \\\"closed\\\", \\\"state_reason\\\": \\\"completed\\\"}'\\n\\n# Reopen\\ncurl -s -X PATCH \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/42 \\\\\\n -d '{\\\"state\\\": \\\"open\\\"}'\\n```\\n\\n### Linking Issues to PRs\\n\\nIssues are automatically closed when a PR merges with the right keywords in the body:\\n\\n```\\nCloses #42\\nFixes #42\\nResolves #42\\n```\\n\\nTo create a branch from an issue:\\n\\n**With gh:**\\n\\n```bash\\ngh issue develop 42 --checkout\\n```\\n\\n**With git (manual equivalent):**\\n\\n```bash\\ngit checkout main && git pull origin main\\ngit checkout -b fix/issue-42-login-redirect\\n```\\n\\n## 4. Issue Triage Workflow\\n\\nWhen asked to triage issues:\\n\\n1. **List untriaged issues:**\\n\\n```bash\\n# With gh\\ngh issue list --label \\\"needs-triage\\\" --state open\\n\\n# With curl\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/repos/$OWNER/$REPO/issues?labels=needs-triage&state=open\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor i in json.load(sys.stdin):\\n if 'pull_request' not in i:\\n print(f\\\\\\\"#{i['number']} {i['title']}\\\\\\\")\\\"\\n```\\n\\n2. **Read and categorize** each issue (view details, understand the bug/feature)\\n\\n3. **Apply labels and priority** (see Managing Issues above)\\n\\n4. **Assign** if the owner is clear\\n\\n5. **Comment with triage notes** if needed\\n\\n## 5. Bulk Operations\\n\\nFor batch operations, combine API calls with shell scripting:\\n\\n**With gh:**\\n\\n```bash\\n# Close all issues with a specific label\\ngh issue list --label \\\"wontfix\\\" --json number --jq '.[].number' | \\\\\\n xargs -I {} gh issue close {} --reason \\\"not planned\\\"\\n```\\n\\n**With curl:**\\n\\n```bash\\n# List issue numbers with a label, then close each\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/repos/$OWNER/$REPO/issues?labels=wontfix&state=open\\\" \\\\\\n | python3 -c \\\"import sys,json; [print(i['number']) for i in json.load(sys.stdin)]\\\" \\\\\\n | while read num; do\\n curl -s -X PATCH \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/issues/$num \\\\\\n -d '{\\\"state\\\": \\\"closed\\\", \\\"state_reason\\\": \\\"not_planned\\\"}'\\n echo \\\"Closed #$num\\\"\\n done\\n```\\n\\n## Quick Reference Table\\n\\n| Action | gh | curl endpoint |\\n|--------|-----|--------------|\\n| List issues | `gh issue list` | `GET /repos/{o}/{r}/issues` |\\n| View issue | `gh issue view N` | `GET /repos/{o}/{r}/issues/N` |\\n| Create issue | `gh issue create ...` | `POST /repos/{o}/{r}/issues` |\\n| Add labels | `gh issue edit N --add-label ...` | `POST /repos/{o}/{r}/issues/N/labels` |\\n| Assign | `gh issue edit N --add-assignee ...` | `POST /repos/{o}/{r}/issues/N/assignees` |\\n| Comment | `gh issue comment N --body ...` | `POST /repos/{o}/{r}/issues/N/comments` |\\n| Close | `gh issue close N` | `PATCH /repos/{o}/{r}/issues/N` |\\n| Search | `gh issue list --search \\\"...\\\"` | `GET /search/issues?q=...` |\\n\", \"path\": \"github/github-issues/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/github/github-issues\", \"linked_files\": {\"templates\": [\"templates/feature-request.md\", \"templates/bug-report.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Issues\", \"Project-Management\", \"Bug-Tracking\", \"Triage\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\"]}}}", "tool_call_id": "call_function_0qki9180e6ay_7" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"github-pr-workflow\", \"description\": \"GitHub PR lifecycle: branch, commit, open, CI, merge.\", \"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"], \"content\": \"---\\nname: github-pr-workflow\\ndescription: \\\"GitHub PR lifecycle: branch, commit, open, CI, merge.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [GitHub, Pull-Requests, CI/CD, Git, Automation, Merge]\\n related_skills: [github-auth, github-code-review]\\n---\\n\\n# GitHub Pull Request Workflow\\n\\nComplete guide for managing the PR lifecycle. Each section shows the `gh` way first, then the `git` + `curl` fallback for machines without `gh`.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n- Inside a git repository with a GitHub remote\\n\\n### Quick Auth Detection\\n\\n```bash\\n# Determine which method to use throughout this workflow\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n AUTH=\\\"gh\\\"\\nelse\\n AUTH=\\\"git\\\"\\n # Ensure we have a token for API calls\\n if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n fi\\n fi\\nfi\\necho \\\"Using: $AUTH\\\"\\n```\\n\\n### Extracting Owner/Repo from the Git Remote\\n\\nMany `curl` commands need `owner/repo`. Extract it from the git remote:\\n\\n```bash\\n# Works for both HTTPS and SSH remote URLs\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\necho \\\"Owner: $OWNER, Repo: $REPO\\\"\\n```\\n\\n---\\n\\n## 1. Branch Creation\\n\\nThis part is pure `git` — identical either way:\\n\\n```bash\\n# Make sure you're up to date\\ngit fetch origin\\ngit checkout main && git pull origin main\\n\\n# Create and switch to a new branch\\ngit checkout -b feat/add-user-authentication\\n```\\n\\nBranch naming conventions:\\n- `feat/description` — new features\\n- `fix/description` — bug fixes\\n- `refactor/description` — code restructuring\\n- `docs/description` — documentation\\n- `ci/description` — CI/CD changes\\n\\n## 2. Making Commits\\n\\nUse the agent's file tools (`write_file`, `patch`) to make changes, then commit:\\n\\n```bash\\n# Stage specific files\\ngit add src/auth.py src/models/user.py tests/test_auth.py\\n\\n# Commit with a conventional commit message\\ngit commit -m \\\"feat: add JWT-based user authentication\\n\\n- Add login/register endpoints\\n- Add User model with password hashing\\n- Add auth middleware for protected routes\\n- Add unit tests for auth flow\\\"\\n```\\n\\nCommit message format (Conventional Commits):\\n```\\ntype(scope): short description\\n\\nLonger explanation if needed. Wrap at 72 characters.\\n```\\n\\nTypes: `feat`, `fix`, `refactor`, `docs`, `test`, `ci`, `chore`, `perf`\\n\\n## 3. Pushing and Creating a PR\\n\\n### Push the Branch (same either way)\\n\\n```bash\\ngit push -u origin HEAD\\n```\\n\\n### Create the PR\\n\\n**With gh:**\\n\\n```bash\\ngh pr create \\\\\\n --title \\\"feat: add JWT-based user authentication\\\" \\\\\\n --body \\\"## Summary\\n- Adds login and register API endpoints\\n- JWT token generation and validation\\n\\n## Test Plan\\n- [ ] Unit tests pass\\n\\nCloses #42\\\"\\n```\\n\\nOptions: `--draft`, `--reviewer user1,user2`, `--label \\\"enhancement\\\"`, `--base develop`\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n -H \\\"Accept: application/vnd.github.v3+json\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls \\\\\\n -d \\\"{\\n \\\\\\\"title\\\\\\\": \\\\\\\"feat: add JWT-based user authentication\\\\\\\",\\n \\\\\\\"body\\\\\\\": \\\\\\\"## Summary\\\\nAdds login and register API endpoints.\\\\n\\\\nCloses #42\\\\\\\",\\n \\\\\\\"head\\\\\\\": \\\\\\\"$BRANCH\\\\\\\",\\n \\\\\\\"base\\\\\\\": \\\\\\\"main\\\\\\\"\\n }\\\"\\n```\\n\\nThe response JSON includes the PR `number` — save it for later commands.\\n\\nTo create as a draft, add `\\\"draft\\\": true` to the JSON body.\\n\\n## 4. Monitoring CI Status\\n\\n### Check CI Status\\n\\n**With gh:**\\n\\n```bash\\n# One-shot check\\ngh pr checks\\n\\n# Watch until all checks finish (polls every 10s)\\ngh pr checks --watch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Get the latest commit SHA on the current branch\\nSHA=$(git rev-parse HEAD)\\n\\n# Query the combined status\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nprint(f\\\\\\\"Overall: {data['state']}\\\\\\\")\\nfor s in data.get('statuses', []):\\n print(f\\\\\\\" {s['context']}: {s['state']} - {s.get('description', '')}\\\\\\\")\\\"\\n\\n# Also check GitHub Actions check runs (separate endpoint)\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/check-runs \\\\\\n | python3 -c \\\"\\nimport sys, json\\ndata = json.load(sys.stdin)\\nfor cr in data.get('check_runs', []):\\n print(f\\\\\\\" {cr['name']}: {cr['status']} / {cr['conclusion'] or 'pending'}\\\\\\\")\\\"\\n```\\n\\n### Poll Until Complete (git + curl)\\n\\n```bash\\n# Simple polling loop — check every 30 seconds, up to 10 minutes\\nSHA=$(git rev-parse HEAD)\\nfor i in $(seq 1 20); do\\n STATUS=$(curl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['state'])\\\")\\n echo \\\"Check $i: $STATUS\\\"\\n if [ \\\"$STATUS\\\" = \\\"success\\\" ] || [ \\\"$STATUS\\\" = \\\"failure\\\" ] || [ \\\"$STATUS\\\" = \\\"error\\\" ]; then\\n break\\n fi\\n sleep 30\\ndone\\n```\\n\\n## 5. Auto-Fixing CI Failures\\n\\nWhen CI fails, diagnose and fix. This loop works with either auth method.\\n\\n### Step 1: Get Failure Details\\n\\n**With gh:**\\n\\n```bash\\n# List recent workflow runs on this branch\\ngh run list --branch $(git branch --show-current) --limit 5\\n\\n# View failed logs\\ngh run view --log-failed\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nBRANCH=$(git branch --show-current)\\n\\n# List workflow runs on this branch\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/repos/$OWNER/$REPO/actions/runs?branch=$BRANCH&per_page=5\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nruns = json.load(sys.stdin)['workflow_runs']\\nfor r in runs:\\n print(f\\\\\\\"Run {r['id']}: {r['name']} - {r['conclusion'] or r['status']}\\\\\\\")\\\"\\n\\n# Get failed job logs (download as zip, extract, read)\\nRUN_ID=\\ncurl -s -L \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \\\\\\n -o /tmp/ci-logs.zip\\ncd /tmp && unzip -o ci-logs.zip -d ci-logs && cat ci-logs/*.txt\\n```\\n\\n### Step 2: Fix and Push\\n\\nAfter identifying the issue, use file tools (`patch`, `write_file`) to fix it:\\n\\n```bash\\ngit add \\ngit commit -m \\\"fix: resolve CI failure in \\\"\\ngit push\\n```\\n\\n### Step 3: Verify\\n\\nRe-check CI status using the commands from Section 4 above.\\n\\n### Auto-Fix Loop Pattern\\n\\nWhen asked to auto-fix CI, follow this loop:\\n\\n1. Check CI status → identify failures\\n2. Read failure logs → understand the error\\n3. Use `read_file` + `patch`/`write_file` → fix the code\\n4. `git add . && git commit -m \\\"fix: ...\\\" && git push`\\n5. Wait for CI → re-check status\\n6. Repeat if still failing (up to 3 attempts, then ask the user)\\n\\n## 6. Merging\\n\\n**With gh:**\\n\\n```bash\\n# Squash merge + delete branch (cleanest for feature branches)\\ngh pr merge --squash --delete-branch\\n\\n# Enable auto-merge (merges when all checks pass)\\ngh pr merge --auto --squash --delete-branch\\n```\\n\\n**With git + curl:**\\n\\n```bash\\nPR_NUMBER=\\n\\n# Merge the PR via API (squash)\\ncurl -s -X PUT \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/merge \\\\\\n -d \\\"{\\n \\\\\\\"merge_method\\\\\\\": \\\\\\\"squash\\\\\\\",\\n \\\\\\\"commit_title\\\\\\\": \\\\\\\"feat: add user authentication (#$PR_NUMBER)\\\\\\\"\\n }\\\"\\n\\n# Delete the remote branch after merge\\nBRANCH=$(git branch --show-current)\\ngit push origin --delete $BRANCH\\n\\n# Switch back to main locally\\ngit checkout main && git pull origin main\\ngit branch -d $BRANCH\\n```\\n\\nMerge methods: `\\\"merge\\\"` (merge commit), `\\\"squash\\\"`, `\\\"rebase\\\"`\\n\\n### Enable Auto-Merge (curl)\\n\\n```bash\\n# Auto-merge requires the repo to have it enabled in settings.\\n# This uses the GraphQL API since REST doesn't support auto-merge.\\nPR_NODE_ID=$(curl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \\\\\\n | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['node_id'])\\\")\\n\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/graphql \\\\\\n -d \\\"{\\\\\\\"query\\\\\\\": \\\\\\\"mutation { enablePullRequestAutoMerge(input: {pullRequestId: \\\\\\\\\\\\\\\"$PR_NODE_ID\\\\\\\\\\\\\\\", mergeMethod: SQUASH}) { clientMutationId } }\\\\\\\"}\\\"\\n```\\n\\n## 7. Complete Workflow Example\\n\\n```bash\\n# 1. Start from clean main\\ngit checkout main && git pull origin main\\n\\n# 2. Branch\\ngit checkout -b fix/login-redirect-bug\\n\\n# 3. (Agent makes code changes with file tools)\\n\\n# 4. Commit\\ngit add src/auth/login.py tests/test_login.py\\ngit commit -m \\\"fix: correct redirect URL after login\\n\\nPreserves the ?next= parameter instead of always redirecting to /dashboard.\\\"\\n\\n# 5. Push\\ngit push -u origin HEAD\\n\\n# 6. Create PR (picks gh or curl based on what's available)\\n# ... (see Section 3)\\n\\n# 7. Monitor CI (see Section 4)\\n\\n# 8. Merge when green (see Section 6)\\n```\\n\\n## Useful PR Commands Reference\\n\\n| Action | gh | git + curl |\\n|--------|-----|-----------|\\n| List my PRs | `gh pr list --author @me` | `curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\"https://api.github.com/repos/$OWNER/$REPO/pulls?state=open\\\"` |\\n| View PR diff | `gh pr diff` | `git diff main...HEAD` (local) or `curl -H \\\"Accept: application/vnd.github.diff\\\" ...` |\\n| Add comment | `gh pr comment N --body \\\"...\\\"` | `curl -X POST .../issues/N/comments -d '{\\\"body\\\":\\\"...\\\"}'` |\\n| Request review | `gh pr edit N --add-reviewer user` | `curl -X POST .../pulls/N/requested_reviewers -d '{\\\"reviewers\\\":[\\\"user\\\"]}'` |\\n| Close PR | `gh pr close N` | `curl -X PATCH .../pulls/N -d '{\\\"state\\\":\\\"closed\\\"}'` |\\n| Check out someone's PR | `gh pr checkout N` | `git fetch origin pull/N/head:pr-N && git checkout pr-N` |\\n\", \"path\": \"github/github-pr-workflow/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/github/github-pr-workflow\", \"linked_files\": {\"references\": [\"references/conventional-commits.md\", \"references/ci-troubleshooting.md\"], \"templates\": [\"templates/pr-body-feature.md\", \"templates/pr-body-bugfix.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Pull-Requests\", \"CI/CD\", \"Git\", \"Automation\", \"Merge\"], \"related_skills\": [\"github-auth\", \"github-code-review\"]}}}", "tool_call_id": "call_function_0qki9180e6ay_8" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"github-repo-management\", \"description\": \"Clone/create/fork repos; manage remotes, releases.\", \"tags\": [\"GitHub\", \"Repositories\", \"Git\", \"Releases\", \"Secrets\", \"Configuration\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\", \"github-issues\"], \"content\": \"---\\nname: github-repo-management\\ndescription: \\\"Clone/create/fork repos; manage remotes, releases.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [GitHub, Repositories, Git, Releases, Secrets, Configuration]\\n related_skills: [github-auth, github-pr-workflow, github-issues]\\n---\\n\\n# GitHub Repository Management\\n\\nCreate, clone, fork, configure, and manage GitHub repositories. Each section shows `gh` first, then the `git` + `curl` fallback.\\n\\n## Prerequisites\\n\\n- Authenticated with GitHub (see `github-auth` skill)\\n\\n### Setup\\n\\n```bash\\nif command -v gh &>/dev/null && gh auth status &>/dev/null; then\\n AUTH=\\\"gh\\\"\\nelse\\n AUTH=\\\"git\\\"\\n if [ -z \\\"$GITHUB_TOKEN\\\" ]; then\\n if [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n elif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n fi\\n fi\\nfi\\n\\n# Get your GitHub username (needed for several operations)\\nif [ \\\"$AUTH\\\" = \\\"gh\\\" ]; then\\n GH_USER=$(gh api user --jq '.login')\\nelse\\n GH_USER=$(curl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" https://api.github.com/user | python3 -c \\\"import sys,json; print(json.load(sys.stdin)['login'])\\\")\\nfi\\n```\\n\\nIf you're inside a repo already:\\n\\n```bash\\nREMOTE_URL=$(git remote get-url origin)\\nOWNER_REPO=$(echo \\\"$REMOTE_URL\\\" | sed -E 's|.*github\\\\.com[:/]||; s|\\\\.git$||')\\nOWNER=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f1)\\nREPO=$(echo \\\"$OWNER_REPO\\\" | cut -d/ -f2)\\n```\\n\\n---\\n\\n## 1. Cloning Repositories\\n\\nCloning is pure `git` — works identically either way:\\n\\n```bash\\n# Clone via HTTPS (works with credential helper or token-embedded URL)\\ngit clone https://github.com/owner/repo-name.git\\n\\n# Clone into a specific directory\\ngit clone https://github.com/owner/repo-name.git ./my-local-dir\\n\\n# Shallow clone (faster for large repos)\\ngit clone --depth 1 https://github.com/owner/repo-name.git\\n\\n# Clone a specific branch\\ngit clone --branch develop https://github.com/owner/repo-name.git\\n\\n# Clone via SSH (if SSH is configured)\\ngit clone git@github.com:owner/repo-name.git\\n```\\n\\n**With gh (shorthand):**\\n\\n```bash\\ngh repo clone owner/repo-name\\ngh repo clone owner/repo-name -- --depth 1\\n```\\n\\n## 2. Creating Repositories\\n\\n**With gh:**\\n\\n```bash\\n# Create a public repo and clone it\\ngh repo create my-new-project --public --clone\\n\\n# Private, with description and license\\ngh repo create my-new-project --private --description \\\"A useful tool\\\" --license MIT --clone\\n\\n# Under an organization\\ngh repo create my-org/my-new-project --public --clone\\n\\n# From existing local directory\\ncd /path/to/existing/project\\ngh repo create my-project --source . --public --push\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Create the remote repo via API\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/user/repos \\\\\\n -d '{\\n \\\"name\\\": \\\"my-new-project\\\",\\n \\\"description\\\": \\\"A useful tool\\\",\\n \\\"private\\\": false,\\n \\\"auto_init\\\": true,\\n \\\"license_template\\\": \\\"mit\\\"\\n }'\\n\\n# Clone it\\ngit clone https://github.com/$GH_USER/my-new-project.git\\ncd my-new-project\\n\\n# -- OR -- push an existing local directory to the new repo\\ncd /path/to/existing/project\\ngit init\\ngit add .\\ngit commit -m \\\"Initial commit\\\"\\ngit remote add origin https://github.com/$GH_USER/my-new-project.git\\ngit push -u origin main\\n```\\n\\nTo create under an organization:\\n\\n```bash\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/orgs/my-org/repos \\\\\\n -d '{\\\"name\\\": \\\"my-new-project\\\", \\\"private\\\": false}'\\n```\\n\\n### From a Template\\n\\n**With gh:**\\n\\n```bash\\ngh repo create my-new-app --template owner/template-repo --public --clone\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/owner/template-repo/generate \\\\\\n -d '{\\\"owner\\\": \\\"'\\\"$GH_USER\\\"'\\\", \\\"name\\\": \\\"my-new-app\\\", \\\"private\\\": false}'\\n```\\n\\n## 3. Forking Repositories\\n\\n**With gh:**\\n\\n```bash\\ngh repo fork owner/repo-name --clone\\n```\\n\\n**With git + curl:**\\n\\n```bash\\n# Create the fork via API\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/owner/repo-name/forks\\n\\n# Wait a moment for GitHub to create it, then clone\\nsleep 3\\ngit clone https://github.com/$GH_USER/repo-name.git\\ncd repo-name\\n\\n# Add the original repo as \\\"upstream\\\" remote\\ngit remote add upstream https://github.com/owner/repo-name.git\\n```\\n\\n### Keeping a Fork in Sync\\n\\n```bash\\n# Pure git — works everywhere\\ngit fetch upstream\\ngit checkout main\\ngit merge upstream/main\\ngit push origin main\\n```\\n\\n**With gh (shortcut):**\\n\\n```bash\\ngh repo sync $GH_USER/repo-name\\n```\\n\\n## 4. Repository Information\\n\\n**With gh:**\\n\\n```bash\\ngh repo view owner/repo-name\\ngh repo list --limit 20\\ngh search repos \\\"machine learning\\\" --language python --sort stars\\n```\\n\\n**With curl:**\\n\\n```bash\\n# View repo details\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO \\\\\\n | python3 -c \\\"\\nimport sys, json\\nr = json.load(sys.stdin)\\nprint(f\\\\\\\"Name: {r['full_name']}\\\\\\\")\\nprint(f\\\\\\\"Description: {r['description']}\\\\\\\")\\nprint(f\\\\\\\"Stars: {r['stargazers_count']} Forks: {r['forks_count']}\\\\\\\")\\nprint(f\\\\\\\"Default branch: {r['default_branch']}\\\\\\\")\\nprint(f\\\\\\\"Language: {r['language']}\\\\\\\")\\\"\\n\\n# List your repos\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/user/repos?per_page=20&sort=updated\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin):\\n vis = 'private' if r['private'] else 'public'\\n print(f\\\\\\\" {r['full_name']:40} {vis:8} {r.get('language', ''):10} ★{r['stargazers_count']}\\\\\\\")\\\"\\n\\n# Search repos\\ncurl -s \\\\\\n \\\"https://api.github.com/search/repositories?q=machine+learning+language:python&sort=stars&per_page=10\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin)['items']:\\n print(f\\\\\\\" {r['full_name']:40} ★{r['stargazers_count']:6} {r['description'][:60] if r['description'] else ''}\\\\\\\")\\\"\\n```\\n\\n## 5. Repository Settings\\n\\n**With gh:**\\n\\n```bash\\ngh repo edit --description \\\"Updated description\\\" --visibility public\\ngh repo edit --enable-wiki=false --enable-issues=true\\ngh repo edit --default-branch main\\ngh repo edit --add-topic \\\"machine-learning,python\\\"\\ngh repo edit --enable-auto-merge\\n```\\n\\n**With curl:**\\n\\n```bash\\ncurl -s -X PATCH \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO \\\\\\n -d '{\\n \\\"description\\\": \\\"Updated description\\\",\\n \\\"has_wiki\\\": false,\\n \\\"has_issues\\\": true,\\n \\\"allow_auto_merge\\\": true\\n }'\\n\\n# Update topics\\ncurl -s -X PUT \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n -H \\\"Accept: application/vnd.github.mercy-preview+json\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/topics \\\\\\n -d '{\\\"names\\\": [\\\"machine-learning\\\", \\\"python\\\", \\\"automation\\\"]}'\\n```\\n\\n## 6. Branch Protection\\n\\n```bash\\n# View current protection\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/branches/main/protection\\n\\n# Set up branch protection\\ncurl -s -X PUT \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/branches/main/protection \\\\\\n -d '{\\n \\\"required_status_checks\\\": {\\n \\\"strict\\\": true,\\n \\\"contexts\\\": [\\\"ci/test\\\", \\\"ci/lint\\\"]\\n },\\n \\\"enforce_admins\\\": false,\\n \\\"required_pull_request_reviews\\\": {\\n \\\"required_approving_review_count\\\": 1\\n },\\n \\\"restrictions\\\": null\\n }'\\n```\\n\\n## 7. Secrets Management (GitHub Actions)\\n\\n**With gh:**\\n\\n```bash\\ngh secret set API_KEY --body \\\"your-secret-value\\\"\\ngh secret set SSH_KEY < ~/.ssh/id_rsa\\ngh secret list\\ngh secret delete API_KEY\\n```\\n\\n**With curl:**\\n\\nSecrets require encryption with the repo's public key — more involved via API:\\n\\n```bash\\n# Get the repo's public key for encrypting secrets\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/secrets/public-key\\n\\n# Encrypt and set (requires Python with PyNaCl)\\npython3 -c \\\"\\nfrom base64 import b64encode\\nfrom nacl import encoding, public\\nimport json, sys\\n\\n# Get the public key\\nkey_id = ''\\npublic_key = ''\\n\\n# Encrypt\\nsealed = public.SealedBox(\\n public.PublicKey(public_key.encode('utf-8'), encoding.Base64Encoder)\\n).encrypt('your-secret-value'.encode('utf-8'))\\nprint(json.dumps({\\n 'encrypted_value': b64encode(sealed).decode('utf-8'),\\n 'key_id': key_id\\n}))\\\"\\n\\n# Then PUT the encrypted secret\\ncurl -s -X PUT \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/secrets/API_KEY \\\\\\n -d ''\\n\\n# List secrets (names only, values hidden)\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/secrets \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor s in json.load(sys.stdin)['secrets']:\\n print(f\\\\\\\" {s['name']:30} updated: {s['updated_at']}\\\\\\\")\\\"\\n```\\n\\nNote: For secrets, `gh secret set` is dramatically simpler. If setting secrets is needed and `gh` isn't available, recommend installing it for just that operation.\\n\\n## 8. Releases\\n\\n**With gh:**\\n\\n```bash\\ngh release create v1.0.0 --title \\\"v1.0.0\\\" --generate-notes\\ngh release create v2.0.0-rc1 --draft --prerelease --generate-notes\\ngh release create v1.0.0 ./dist/binary --title \\\"v1.0.0\\\" --notes \\\"Release notes\\\"\\ngh release list\\ngh release download v1.0.0 --dir ./downloads\\n```\\n\\n**With curl:**\\n\\n```bash\\n# Create a release\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/releases \\\\\\n -d '{\\n \\\"tag_name\\\": \\\"v1.0.0\\\",\\n \\\"name\\\": \\\"v1.0.0\\\",\\n \\\"body\\\": \\\"## Changelog\\\\n- Feature A\\\\n- Bug fix B\\\",\\n \\\"draft\\\": false,\\n \\\"prerelease\\\": false,\\n \\\"generate_release_notes\\\": true\\n }'\\n\\n# List releases\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/releases \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin):\\n tag = r.get('tag_name', 'no tag')\\n print(f\\\\\\\" {tag:15} {r['name']:30} {'draft' if r['draft'] else 'published'}\\\\\\\")\\\"\\n\\n# Upload a release asset (binary file)\\nRELEASE_ID=\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n -H \\\"Content-Type: application/octet-stream\\\" \\\\\\n \\\"https://uploads.github.com/repos/$OWNER/$REPO/releases/$RELEASE_ID/assets?name=binary-amd64\\\" \\\\\\n --data-binary @./dist/binary-amd64\\n```\\n\\n## 9. GitHub Actions Workflows\\n\\n**With gh:**\\n\\n```bash\\ngh workflow list\\ngh run list --limit 10\\ngh run view \\ngh run view --log-failed\\ngh run rerun \\ngh run rerun --failed\\ngh workflow run ci.yml --ref main\\ngh workflow run deploy.yml -f environment=staging\\n```\\n\\n**With curl:**\\n\\n```bash\\n# List workflows\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/workflows \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor w in json.load(sys.stdin)['workflows']:\\n print(f\\\\\\\" {w['id']:10} {w['name']:30} {w['state']}\\\\\\\")\\\"\\n\\n# List recent runs\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n \\\"https://api.github.com/repos/$OWNER/$REPO/actions/runs?per_page=10\\\" \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor r in json.load(sys.stdin)['workflow_runs']:\\n print(f\\\\\\\" Run {r['id']} {r['name']:30} {r['conclusion'] or r['status']}\\\\\\\")\\\"\\n\\n# Download failed run logs\\nRUN_ID=\\ncurl -s -L \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \\\\\\n -o /tmp/ci-logs.zip\\ncd /tmp && unzip -o ci-logs.zip -d ci-logs\\n\\n# Re-run a failed workflow\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/rerun\\n\\n# Re-run only failed jobs\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/rerun-failed-jobs\\n\\n# Trigger a workflow manually (workflow_dispatch)\\nWORKFLOW_ID=\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/repos/$OWNER/$REPO/actions/workflows/$WORKFLOW_ID/dispatches \\\\\\n -d '{\\\"ref\\\": \\\"main\\\", \\\"inputs\\\": {\\\"environment\\\": \\\"staging\\\"}}'\\n```\\n\\n## 10. Gists\\n\\n**With gh:**\\n\\n```bash\\ngh gist create script.py --public --desc \\\"Useful script\\\"\\ngh gist list\\n```\\n\\n**With curl:**\\n\\n```bash\\n# Create a gist\\ncurl -s -X POST \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/gists \\\\\\n -d '{\\n \\\"description\\\": \\\"Useful script\\\",\\n \\\"public\\\": true,\\n \\\"files\\\": {\\n \\\"script.py\\\": {\\\"content\\\": \\\"print(\\\\\\\"hello\\\\\\\")\\\"}\\n }\\n }'\\n\\n# List your gists\\ncurl -s \\\\\\n -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n https://api.github.com/gists \\\\\\n | python3 -c \\\"\\nimport sys, json\\nfor g in json.load(sys.stdin):\\n files = ', '.join(g['files'].keys())\\n print(f\\\\\\\" {g['id']} {g['description'] or '(no desc)':40} {files}\\\\\\\")\\\"\\n```\\n\\n## Quick Reference Table\\n\\n| Action | gh | git + curl |\\n|--------|-----|-----------|\\n| Clone | `gh repo clone o/r` | `git clone https://github.com/o/r.git` |\\n| Create repo | `gh repo create name --public` | `curl POST /user/repos` |\\n| Fork | `gh repo fork o/r --clone` | `curl POST /repos/o/r/forks` + `git clone` |\\n| Repo info | `gh repo view o/r` | `curl GET /repos/o/r` |\\n| Edit settings | `gh repo edit --...` | `curl PATCH /repos/o/r` |\\n| Create release | `gh release create v1.0` | `curl POST /repos/o/r/releases` |\\n| List workflows | `gh workflow list` | `curl GET /repos/o/r/actions/workflows` |\\n| Rerun CI | `gh run rerun ID` | `curl POST /repos/o/r/actions/runs/ID/rerun` |\\n| Set secret | `gh secret set KEY` | `curl PUT /repos/o/r/actions/secrets/KEY` (+ encryption) |\\n\", \"path\": \"github/github-repo-management/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/github/github-repo-management\", \"linked_files\": {\"references\": [\"references/github-api-cheatsheet.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Repositories\", \"Git\", \"Releases\", \"Secrets\", \"Configuration\"], \"related_skills\": [\"github-auth\", \"github-pr-workflow\", \"github-issues\"]}}}", "tool_call_id": "call_function_0qki9180e6ay_9" }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"native-mcp\", \"description\": \"MCP client: connect servers, register tools (stdio/HTTP).\", \"tags\": [\"MCP\", \"Tools\", \"Integrations\"], \"related_skills\": [\"mcporter\"], \"content\": \"---\\nname: native-mcp\\ndescription: \\\"MCP client: connect servers, register tools (stdio/HTTP).\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [MCP, Tools, Integrations]\\n related_skills: [mcporter]\\n---\\n\\n# Native MCP Client\\n\\nHermes Agent has a built-in MCP client that connects to MCP servers at startup, discovers their tools, and makes them available as first-class tools the agent can call directly. No bridge CLI needed -- tools from MCP servers appear alongside built-in tools like `terminal`, `read_file`, etc.\\n\\n## When to Use\\n\\nUse this whenever you want to:\\n- Connect to MCP servers and use their tools from within Hermes Agent\\n- Add external capabilities (filesystem access, GitHub, databases, APIs) via MCP\\n- Run local stdio-based MCP servers (npx, uvx, or any command)\\n- Connect to remote HTTP/StreamableHTTP MCP servers\\n- Have MCP tools auto-discovered and available in every conversation\\n\\nFor ad-hoc, one-off MCP tool calls from the terminal without configuring anything, see the `mcporter` skill instead.\\n\\n## Prerequisites\\n\\n- **mcp Python package** -- optional dependency; install with `pip install mcp`. If not installed, MCP support is silently disabled.\\n- **Node.js** -- required for `npx`-based MCP servers (most community servers)\\n- **uv** -- required for `uvx`-based MCP servers (Python-based servers)\\n\\nInstall the MCP SDK:\\n\\n```bash\\npip install mcp\\n# or, if using uv:\\nuv pip install mcp\\n```\\n\\n## Quick Start\\n\\nAdd MCP servers to `~/.hermes/config.yaml` under the `mcp_servers` key:\\n\\n```yaml\\nmcp_servers:\\n time:\\n command: \\\"uvx\\\"\\n args: [\\\"mcp-server-time\\\"]\\n```\\n\\nRestart Hermes Agent. On startup it will:\\n1. Connect to the server\\n2. Discover available tools\\n3. Register them with the prefix `mcp_time_*`\\n4. Inject them into all platform toolsets\\n\\nYou can then use the tools naturally -- just ask the agent to get the current time.\\n\\n## Configuration Reference\\n\\nEach entry under `mcp_servers` is a server name mapped to its config. There are two transport types: **stdio** (command-based) and **HTTP** (url-based).\\n\\n### Stdio Transport (command + args)\\n\\n```yaml\\nmcp_servers:\\n server_name:\\n command: \\\"npx\\\" # (required) executable to run\\n args: [\\\"-y\\\", \\\"pkg-name\\\"] # (optional) command arguments, default: []\\n env: # (optional) environment variables for the subprocess\\n SOME_API_KEY: \\\"value\\\"\\n timeout: 120 # (optional) per-tool-call timeout in seconds, default: 120\\n connect_timeout: 60 # (optional) initial connection timeout in seconds, default: 60\\n```\\n\\n### HTTP Transport (url)\\n\\n```yaml\\nmcp_servers:\\n server_name:\\n url: \\\"https://my-server.example.com/mcp\\\" # (required) server URL\\n headers: # (optional) HTTP headers\\n Authorization: \\\"Bearer sk-...\\\"\\n timeout: 180 # (optional) per-tool-call timeout in seconds, default: 120\\n connect_timeout: 60 # (optional) initial connection timeout in seconds, default: 60\\n```\\n\\n### All Config Options\\n\\n| Option | Type | Default | Description |\\n|-------------------|--------|---------|---------------------------------------------------|\\n| `command` | string | -- | Executable to run (stdio transport, required) |\\n| `args` | list | `[]` | Arguments passed to the command |\\n| `env` | dict | `{}` | Extra environment variables for the subprocess |\\n| `url` | string | -- | Server URL (HTTP transport, required) |\\n| `headers` | dict | `{}` | HTTP headers sent with every request |\\n| `timeout` | int | `120` | Per-tool-call timeout in seconds |\\n| `connect_timeout` | int | `60` | Timeout for initial connection and discovery |\\n\\nNote: A server config must have either `command` (stdio) or `url` (HTTP), not both.\\n\\n## How It Works\\n\\n### Startup Discovery\\n\\nWhen Hermes Agent starts, `discover_mcp_tools()` is called during tool initialization:\\n\\n1. Reads `mcp_servers` from `~/.hermes/config.yaml`\\n2. For each server, spawns a connection in a dedicated background event loop\\n3. Initializes the MCP session and calls `list_tools()` to discover available tools\\n4. Registers each tool in the Hermes tool registry\\n\\n### Tool Naming Convention\\n\\nMCP tools are registered with the naming pattern:\\n\\n```\\nmcp_{server_name}_{tool_name}\\n```\\n\\nHyphens and dots in names are replaced with underscores for LLM API compatibility.\\n\\nExamples:\\n- Server `filesystem`, tool `read_file` → `mcp_filesystem_read_file`\\n- Server `github`, tool `list-issues` → `mcp_github_list_issues`\\n- Server `my-api`, tool `fetch.data` → `mcp_my_api_fetch_data`\\n\\n### Auto-Injection\\n\\nAfter discovery, MCP tools are automatically injected into all `hermes-*` platform toolsets (CLI, Discord, Telegram, etc.). This means MCP tools are available in every conversation without any additional configuration.\\n\\n### Connection Lifecycle\\n\\n- Each server runs as a long-lived asyncio Task in a background daemon thread\\n- Connections persist for the lifetime of the agent process\\n- If a connection drops, automatic reconnection with exponential backoff kicks in (up to 5 retries, max 60s backoff)\\n- On agent shutdown, all connections are gracefully closed\\n\\n### Idempotency\\n\\n`discover_mcp_tools()` is idempotent -- calling it multiple times only connects to servers that aren't already connected. Failed servers are retried on subsequent calls.\\n\\n## Transport Types\\n\\n### Stdio Transport\\n\\nThe most common transport. Hermes launches the MCP server as a subprocess and communicates over stdin/stdout.\\n\\n```yaml\\nmcp_servers:\\n filesystem:\\n command: \\\"npx\\\"\\n args: [\\\"-y\\\", \\\"@modelcontextprotocol/server-filesystem\\\", \\\"/home/user/projects\\\"]\\n```\\n\\nThe subprocess inherits a **filtered** environment (see Security section below) plus any variables you specify in `env`.\\n\\n### HTTP / StreamableHTTP Transport\\n\\nFor remote or shared MCP servers. Requires the `mcp` package to include HTTP client support (`mcp.client.streamable_http`).\\n\\n```yaml\\nmcp_servers:\\n remote_api:\\n url: \\\"https://mcp.example.com/mcp\\\"\\n headers:\\n Authorization: \\\"Bearer sk-...\\\"\\n```\\n\\nIf HTTP support is not available in your installed `mcp` version, the server will fail with an ImportError and other servers will continue normally.\\n\\n## Security\\n\\n### Environment Variable Filtering\\n\\nFor stdio servers, Hermes does NOT pass your full shell environment to MCP subprocesses. Only safe baseline variables are inherited:\\n\\n- `PATH`, `HOME`, `USER`, `LANG`, `LC_ALL`, `TERM`, `SHELL`, `TMPDIR`\\n- Any `XDG_*` variables\\n\\nAll other environment variables (API keys, tokens, secrets) are excluded unless you explicitly add them via the `env` config key. This prevents accidental credential leakage to untrusted MCP servers.\\n\\n```yaml\\nmcp_servers:\\n github:\\n command: \\\"npx\\\"\\n args: [\\\"-y\\\", \\\"@modelcontextprotocol/server-github\\\"]\\n env:\\n # Only this token is passed to the subprocess\\n GITHUB_PERSONAL_ACCESS_TOKEN: \\\"ghp_...\\\"\\n```\\n\\n### Credential Stripping in Error Messages\\n\\nIf an MCP tool call fails, any credential-like patterns in the error message are automatically redacted before being shown to the LLM. This covers:\\n\\n- GitHub PATs (`ghp_...`)\\n- OpenAI-style keys (`sk-...`)\\n- Bearer tokens\\n- Generic `token=`, `key=`, `API_KEY=`, `password=`, `secret=` patterns\\n\\n## Troubleshooting\\n\\n### \\\"MCP SDK not available -- skipping MCP tool discovery\\\"\\n\\nThe `mcp` Python package is not installed. Install it:\\n\\n```bash\\npip install mcp\\n```\\n\\n### \\\"No MCP servers configured\\\"\\n\\nNo `mcp_servers` key in `~/.hermes/config.yaml`, or it's empty. Add at least one server.\\n\\n### \\\"Failed to connect to MCP server 'X'\\\"\\n\\nCommon causes:\\n- **Command not found**: The `command` binary isn't on PATH. Ensure `npx`, `uvx`, or the relevant command is installed.\\n- **Package not found**: For npx servers, the npm package may not exist or may need `-y` in args to auto-install.\\n- **Timeout**: The server took too long to start. Increase `connect_timeout`.\\n- **Port conflict**: For HTTP servers, the URL may be unreachable.\\n\\n### \\\"MCP server 'X' requires HTTP transport but mcp.client.streamable_http is not available\\\"\\n\\nYour `mcp` package version doesn't include HTTP client support. Upgrade:\\n\\n```bash\\npip install --upgrade mcp\\n```\\n\\n### Tools not appearing\\n\\n- Check that the server is listed under `mcp_servers` (not `mcp` or `servers`)\\n- Ensure the YAML indentation is correct\\n- Look at Hermes Agent startup logs for connection messages\\n- Tool names are prefixed with `mcp_{server}_{tool}` -- look for that pattern\\n\\n### Connection keeps dropping\\n\\nThe client retries up to 5 times with exponential backoff (1s, 2s, 4s, 8s, 16s, capped at 60s). If the server is fundamentally unreachable, it gives up after 5 attempts. Check the server process and network connectivity.\\n\\n## Examples\\n\\n### Time Server (uvx)\\n\\n```yaml\\nmcp_servers:\\n time:\\n command: \\\"uvx\\\"\\n args: [\\\"mcp-server-time\\\"]\\n```\\n\\nRegisters tools like `mcp_time_get_current_time`.\\n\\n### Filesystem Server (npx)\\n\\n```yaml\\nmcp_servers:\\n filesystem:\\n command: \\\"npx\\\"\\n args: [\\\"-y\\\", \\\"@modelcontextprotocol/server-filesystem\\\", \\\"/home/user/documents\\\"]\\n timeout: 30\\n```\\n\\nRegisters tools like `mcp_filesystem_read_file`, `mcp_filesystem_write_file`, `mcp_filesystem_list_directory`.\\n\\n### GitHub Server with Authentication\\n\\n```yaml\\nmcp_servers:\\n github:\\n command: \\\"npx\\\"\\n args: [\\\"-y\\\", \\\"@modelcontextprotocol/server-github\\\"]\\n env:\\n GITHUB_PERSONAL_ACCESS_TOKEN: \\\"ghp_xxxxxxxxxxxxxxxxxxxx\\\"\\n timeout: 60\\n```\\n\\nRegisters tools like `mcp_github_list_issues`, `mcp_github_create_pull_request`, etc.\\n\\n### Remote HTTP Server\\n\\n```yaml\\nmcp_servers:\\n company_api:\\n url: \\\"https://mcp.mycompany.com/v1/mcp\\\"\\n headers:\\n Authorization: \\\"Bearer sk-xxxxxxxxxxxxxxxxxxxx\\\"\\n X-Team-Id: \\\"engineering\\\"\\n timeout: 180\\n connect_timeout: 30\\n```\\n\\n### Multiple Servers\\n\\n```yaml\\nmcp_servers:\\n time:\\n command: \\\"uvx\\\"\\n args: [\\\"mcp-server-time\\\"]\\n\\n filesystem:\\n command: \\\"npx\\\"\\n args: [\\\"-y\\\", \\\"@modelcontextprotocol/server-filesystem\\\", \\\"/tmp\\\"]\\n\\n github:\\n command: \\\"npx\\\"\\n args: [\\\"-y\\\", \\\"@modelcontextprotocol/server-github\\\"]\\n env:\\n GITHUB_PERSONAL_ACCESS_TOKEN: \\\"ghp_xxxxxxxxxxxxxxxxxxxx\\\"\\n\\n company_api:\\n url: \\\"https://mcp.internal.company.com/mcp\\\"\\n headers:\\n Authorization: \\\"Bearer sk-xxxxxxxxxxxxxxxxxxxx\\\"\\n timeout: 300\\n```\\n\\nAll tools from all servers are registered and available simultaneously. Each server's tools are prefixed with its name to avoid collisions.\\n\\n## Sampling (Server-Initiated LLM Requests)\\n\\nHermes supports MCP's `sampling/createMessage` capability — MCP servers can request LLM completions through the agent during tool execution. This enables agent-in-the-loop workflows (data analysis, content generation, decision-making).\\n\\nSampling is **enabled by default**. Configure per server:\\n\\n```yaml\\nmcp_servers:\\n my_server:\\n command: \\\"npx\\\"\\n args: [\\\"-y\\\", \\\"my-mcp-server\\\"]\\n sampling:\\n enabled: true # default: true\\n model: \\\"gemini-3-flash\\\" # model override (optional)\\n max_tokens_cap: 4096 # max tokens per request\\n timeout: 30 # LLM call timeout (seconds)\\n max_rpm: 10 # max requests per minute\\n allowed_models: [] # model whitelist (empty = all)\\n max_tool_rounds: 5 # tool loop limit (0 = disable)\\n log_level: \\\"info\\\" # audit verbosity\\n```\\n\\nServers can also include `tools` in sampling requests for multi-turn tool-augmented workflows. The `max_tool_rounds` config prevents infinite tool loops. Per-server audit metrics (requests, errors, tokens, tool use count) are tracked via `get_mcp_status()`.\\n\\nDisable sampling for untrusted servers with `sampling: { enabled: false }`.\\n\\n## Notes\\n\\n- MCP tools are called synchronously from the agent's perspective but run asynchronously on a dedicated background event loop\\n- Tool results are returned as JSON with either `{\\\"result\\\": \\\"...\\\"}` or `{\\\"error\\\": \\\"...\\\"}`\\n- The native MCP client is independent of `mcporter` -- you can use both simultaneously\\n- Server connections are persistent and shared across all conversations in the same agent process\\n- Adding or removing servers requires restarting the agent (no hot-reload currently)\\n\", \"path\": \"mcp/native-mcp/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/mcp/native-mcp\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"MCP\", \"Tools\", \"Integrations\"], \"related_skills\": [\"mcporter\"]}}}", "tool_call_id": "call_function_0qki9180e6ay_10" }, { "role": "assistant", "content": "", "reasoning": "Now I need to load the last 8 skills: gif-search, heartmula, songsee, baoyu-infographic, and others. Let me also get the ones that were already loaded: dogfood, yuanbao, claude-code, codex, hermes-agent, opencode, architecture-diagram, ascii-art, ascii-video, baoyu-comic.\n\nThe ones I still need to view are:\n- baoyu-infographic\n- gif-search\n- heartmula\n- songsee\n\nWait, let me count: dogfood (1), yuanbao (2), claude-code (3), codex (4), hermes-agent (5), opencode (6), architecture-diagram (7), ascii-art (8), ascii-video (9), baoyu-comic (10), pixel-art (11), popular-web-designs (12), pretext (13), sketch (14), songwriting-and-ai-music (15), touchdesigner-mcp (16), jupyter-live-kernel (17), kanban-orchestrator (18), kanban-worker (19), webhook-subscriptions (20), himalaya (21), minecraft-modpack-server (22), pokemon-player (23), codebase-inspection (24), github-auth (25), github-code-review (26), github-issues (27), github-pr-workflow (28), github-repo-management (29), native-mcp (30).\n\nThat's 30 skills. The user asked for skills 1-40. Looking at the list: dogfood, yuanbao, claude-code, codex, hermes-agent, opencode, architecture-diagram, ascii-art, ascii-video, baoyu-comic, baoyu-infographic, claude-design, comfyui, design-md, excalidraw, humanizer, ideation, manim-video, p5js, pixel-art, popular-web-designs, pretext, sketch, songwriting-and-ai-music, touchdesigner-mcp, jupyter-live-kernel, kanban-orchestrator, kanban-worker, webhook-subscriptions, himalaya, minecraft-modpack-server, pokemon-player, codebase-inspection, github-auth, github-code-review, github-issues, github-pr-workflow, github-repo-management, native-mcp, gif-search, heartmula, songsee.\n\n\nI've loaded 30 so far but need to reach 40. The missing ones are: baoyu-infographic, claude-design, comfyui, design-md, excalidraw, humanizer, ideation, manim-video, p5js, gif-search, heartmula, songsee. I should continue loading these remaining skills.", "finish_reason": "tool_calls", "reasoning_content": "Now I need to load the last 8 skills: gif-search, heartmula, songsee, baoyu-infographic, and others. Let me also get the ones that were already loaded: dogfood, yuanbao, claude-code, codex, hermes-agent, opencode, architecture-diagram, ascii-art, ascii-video, baoyu-comic.\n\nThe ones I still need to view are:\n- baoyu-infographic\n- gif-search\n- heartmula\n- songsee\n\nWait, let me count: dogfood (1), yuanbao (2), claude-code (3), codex (4), hermes-agent (5), opencode (6), architecture-diagram (7), ascii-art (8), ascii-video (9), baoyu-comic (10), pixel-art (11), popular-web-designs (12), pretext (13), sketch (14), songwriting-and-ai-music (15), touchdesigner-mcp (16), jupyter-live-kernel (17), kanban-orchestrator (18), kanban-worker (19), webhook-subscriptions (20), himalaya (21), minecraft-modpack-server (22), pokemon-player (23), codebase-inspection (24), github-auth (25), github-code-review (26), github-issues (27), github-pr-workflow (28), github-repo-management (29), native-mcp (30).\n\nThat's 30 skills. The user asked for skills 1-40. Looking at the list: dogfood, yuanbao, claude-code, codex, hermes-agent, opencode, architecture-diagram, ascii-art, ascii-video, baoyu-comic, baoyu-infographic, claude-design, comfyui, design-md, excalidraw, humanizer, ideation, manim-video, p5js, pixel-art, popular-web-designs, pretext, sketch, songwriting-and-ai-music, touchdesigner-mcp, jupyter-live-kernel, kanban-orchestrator, kanban-worker, webhook-subscriptions, himalaya, minecraft-modpack-server, pokemon-player, codebase-inspection, github-auth, github-code-review, github-issues, github-pr-workflow, github-repo-management, native-mcp, gif-search, heartmula, songsee.\n\n\nI've loaded 30 so far but need to reach 40. The missing ones are: baoyu-infographic, claude-design, comfyui, design-md, excalidraw, humanizer, ideation, manim-video, p5js, gif-search, heartmula, songsee. I should continue loading these remaining skills.", "reasoning_details": [ { "signature": "f3cfcb14e8e5444efc917125e7478e21e9e1f295aabcc5a7f5d50834dd6ba748", "thinking": "Now I need to load the last 8 skills: gif-search, heartmula, songsee, baoyu-infographic, and others. Let me also get the ones that were already loaded: dogfood, yuanbao, claude-code, codex, hermes-agent, opencode, architecture-diagram, ascii-art, ascii-video, baoyu-comic.\n\nThe ones I still need to view are:\n- baoyu-infographic\n- gif-search\n- heartmula\n- songsee\n\nWait, let me count: dogfood (1), yuanbao (2), claude-code (3), codex (4), hermes-agent (5), opencode (6), architecture-diagram (7), ascii-art (8), ascii-video (9), baoyu-comic (10), pixel-art (11), popular-web-designs (12), pretext (13), sketch (14), songwriting-and-ai-music (15), touchdesigner-mcp (16), jupyter-live-kernel (17), kanban-orchestrator (18), kanban-worker (19), webhook-subscriptions (20), himalaya (21), minecraft-modpack-server (22), pokemon-player (23), codebase-inspection (24), github-auth (25), github-code-review (26), github-issues (27), github-pr-workflow (28), github-repo-management (29), native-mcp (30).\n\nThat's 30 skills. The user asked for skills 1-40. Looking at the list: dogfood, yuanbao, claude-code, codex, hermes-agent, opencode, architecture-diagram, ascii-art, ascii-video, baoyu-comic, baoyu-infographic, claude-design, comfyui, design-md, excalidraw, humanizer, ideation, manim-video, p5js, pixel-art, popular-web-designs, pretext, sketch, songwriting-and-ai-music, touchdesigner-mcp, jupyter-live-kernel, kanban-orchestrator, kanban-worker, webhook-subscriptions, himalaya, minecraft-modpack-server, pokemon-player, codebase-inspection, github-auth, github-code-review, github-issues, github-pr-workflow, github-repo-management, native-mcp, gif-search, heartmula, songsee.\n\n\nI've loaded 30 so far but need to reach 40. The missing ones are: baoyu-infographic, claude-design, comfyui, design-md, excalidraw, humanizer, ideation, manim-video, p5js, gif-search, heartmula, songsee. I should continue loading these remaining skills.", "type": "thinking" } ], "tool_calls": [ { "id": "call_function_igrimi6kmlqv_1", "call_id": "call_function_igrimi6kmlqv_1", "response_item_id": "fc_function_igrimi6kmlqv_1", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"baoyu-infographic\"}" } }, { "id": "call_function_igrimi6kmlqv_2", "call_id": "call_function_igrimi6kmlqv_2", "response_item_id": "fc_function_igrimi6kmlqv_2", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"gif-search\"}" } }, { "id": "call_function_igrimi6kmlqv_3", "call_id": "call_function_igrimi6kmlqv_3", "response_item_id": "fc_function_igrimi6kmlqv_3", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"heartmula\"}" } }, { "id": "call_function_igrimi6kmlqv_4", "call_id": "call_function_igrimi6kmlqv_4", "response_item_id": "fc_function_igrimi6kmlqv_4", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\": \"songsee\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"baoyu-infographic\", \"description\": \"Infographics: 21 layouts x 21 styles (信息图, 可视化).\", \"tags\": [\"infographic\", \"visual-summary\", \"creative\", \"image-generation\"], \"related_skills\": [], \"content\": \"---\\nname: baoyu-infographic\\ndescription: \\\"Infographics: 21 layouts x 21 styles (信息图, 可视化).\\\"\\nversion: 1.56.1\\nauthor: 宝玉 (JimLiu)\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n hermes:\\n tags: [infographic, visual-summary, creative, image-generation]\\n homepage: https://github.com/JimLiu/baoyu-skills#baoyu-infographic\\n---\\n\\n# Infographic Generator\\n\\nAdapted from [baoyu-infographic](https://github.com/JimLiu/baoyu-skills) for Hermes Agent's tool ecosystem.\\n\\nTwo dimensions: **layout** (information structure) × **style** (visual aesthetics). Freely combine any layout with any style.\\n\\n## When to Use\\n\\nTrigger this skill when the user asks to create an infographic, visual summary, information graphic, or uses terms like \\\"信息图\\\", \\\"可视化\\\", or \\\"高密度信息大图\\\". The user provides content (text, file path, URL, or topic) and optionally specifies layout, style, aspect ratio, or language.\\n\\n## Options\\n\\n| Option | Values |\\n|--------|--------|\\n| Layout | 21 options (see Layout Gallery), default: bento-grid |\\n| Style | 21 options (see Style Gallery), default: craft-handmade |\\n| Aspect | Named: landscape (16:9), portrait (9:16), square (1:1). Custom: any W:H ratio (e.g., 3:4, 4:3, 2.35:1) |\\n| Language | en, zh, ja, etc. |\\n\\n## Layout Gallery\\n\\n| Layout | Best For |\\n|--------|----------|\\n| `linear-progression` | Timelines, processes, tutorials |\\n| `binary-comparison` | A vs B, before-after, pros-cons |\\n| `comparison-matrix` | Multi-factor comparisons |\\n| `hierarchical-layers` | Pyramids, priority levels |\\n| `tree-branching` | Categories, taxonomies |\\n| `hub-spoke` | Central concept with related items |\\n| `structural-breakdown` | Exploded views, cross-sections |\\n| `bento-grid` | Multiple topics, overview (default) |\\n| `iceberg` | Surface vs hidden aspects |\\n| `bridge` | Problem-solution |\\n| `funnel` | Conversion, filtering |\\n| `isometric-map` | Spatial relationships |\\n| `dashboard` | Metrics, KPIs |\\n| `periodic-table` | Categorized collections |\\n| `comic-strip` | Narratives, sequences |\\n| `story-mountain` | Plot structure, tension arcs |\\n| `jigsaw` | Interconnected parts |\\n| `venn-diagram` | Overlapping concepts |\\n| `winding-roadmap` | Journey, milestones |\\n| `circular-flow` | Cycles, recurring processes |\\n| `dense-modules` | High-density modules, data-rich guides |\\n\\nFull definitions: `references/layouts/.md`\\n\\n## Style Gallery\\n\\n| Style | Description |\\n|-------|-------------|\\n| `craft-handmade` | Hand-drawn, paper craft (default) |\\n| `claymation` | 3D clay figures, stop-motion |\\n| `kawaii` | Japanese cute, pastels |\\n| `storybook-watercolor` | Soft painted, whimsical |\\n| `chalkboard` | Chalk on black board |\\n| `cyberpunk-neon` | Neon glow, futuristic |\\n| `bold-graphic` | Comic style, halftone |\\n| `aged-academia` | Vintage science, sepia |\\n| `corporate-memphis` | Flat vector, vibrant |\\n| `technical-schematic` | Blueprint, engineering |\\n| `origami` | Folded paper, geometric |\\n| `pixel-art` | Retro 8-bit |\\n| `ui-wireframe` | Grayscale interface mockup |\\n| `subway-map` | Transit diagram |\\n| `ikea-manual` | Minimal line art |\\n| `knolling` | Organized flat-lay |\\n| `lego-brick` | Toy brick construction |\\n| `pop-laboratory` | Blueprint grid, coordinate markers, lab precision |\\n| `morandi-journal` | Hand-drawn doodle, warm Morandi tones |\\n| `retro-pop-grid` | 1970s retro pop art, Swiss grid, thick outlines |\\n| `hand-drawn-edu` | Macaron pastels, hand-drawn wobble, stick figures |\\n\\nFull definitions: `references/styles/