Read GitHub Docs
Read and search GitHub repository documentation via gitmcp.io MCP service. **WHEN TO USE:** - User provides a GitHub URL - User mentions a specific repo in owner/repo format - User asks "what does this repo do?", "read the docs for X repo", or similar - User wants to search code or docs within a repo
MCP get_skill({ skillId: "read-github-docs-6829b189" })Use this skill with your agent
Create a free account and connect via MCP
# Read GitHub Docs
Access GitHub repository documentation and code via the gitmcp.io MCP service.
## URL Conversion
Convert GitHub URLs to gitmcp.io:
- `github.com/owner/repo` → `gitmcp.io/owner/repo`
- `https://github.com/karpathy/llm-council` → `https://gitmcp.io/karpathy/llm-council`
## CLI Usage
The `scripts/gitmcp.py` script provides CLI access to repository docs.
### List Available Tools
```bash
python3 scripts/gitmcp.py list-tools owner/repo
```
### Fetch Documentation
Retrieves the full documentation file (README, docs, etc.):
```bash
python3 scripts/gitmcp.py fetch-docs owner/repo
```
### Search Documentation
Semantic search within repository documentation:
```bash
python3 scripts/gitmcp.py search-docs owner/repo "query"
```
### Search Code
Search code using GitHub Search API (exact match):
```bash
python3 scripts/gitmcp.py search-code owner/repo "function_name"
```
### Fetch Referenced URL
Fetch content from URLs mentioned in documentation:
```bash
python3 scripts/gitmcp.py fetch-url owner/repo "https://example.com/doc"
```
### Direct Tool Call
Call any MCP tool directly:
```bash
python3 scripts/gitmcp.py call owner/repo tool_name '{"arg": "value"}'
```
## Tool Names
Tool names are dynamically prefixed with the repo name (underscored):
- `karpathy/llm-council` → `fetch_llm_council_documentation`
- `facebook/react` → `fetch_react_documentation`
- `my-org/my-repo` → `fetch_my_repo_documentation`
## Available MCP Tools
For any repository, these tools are available:
1. **fetch_{repo}_documentation** - Fetch entire documentation. Call first for general questions.
2. **search_{repo}_documentation** - Semantic search within docs. Use for specific queries.
3. **search_{repo}_code** - Search code via GitHub API (exact match). Returns matching files.
4. **fetch_generic_url_content** - Fetch any URL referenced in docs, respecting robots.txt.
## Workflow
1. When given a GitHub repo, first fetch documentation to understand the project
2. Use search-docs for specific questions about usage or features
3. Use search-code to find implementations or specific functions
4. Use fetch-url to retrieve external references mentioned in docsRelated Skills
More skills in Agent Orchestration
1. Product type search — what design patterns fit this product?
Design UI/UX systems with style guides, palettes, typography, and component specs for new interfaces
Acp Router
Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid, Kilocode, or explicit ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation. Codex chat binding defaults to the native Codex app-server plugin unless ACP is explicit or background spawn needs ACP.
Add New Safe Output Type
Adding a New Safe Output Type to GitHub Agentic Workflows
Agent Governance
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
Agentic Development
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
Agentic Workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
Explore Other Categories
Skills from other categories with shared topics
Gemini Computer Use
Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.
OpenAI Docs Skill
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
Planner
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.