Read and search GitHub repository documentation through the gitmcp.io MCP service.
Works with
Converts GitHub URLs to gitmcp.io endpoints and provides CLI access via scripts/gitmcp.py for fetching docs, searching documentation semantically, and searching code via GitHub API
Four core tools available per repository: fetch full documentation, semantic search within docs, exact-match code search, and fetch external URLs referenced in documentation
Tool names are dynamically generated and prefixed
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionread-githubExecute the skills CLI command in your project's root directory to begin installation:
Fetches read-github from am-will/codex-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate read-github. Access via /read-github in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Access GitHub repository documentation and code via the gitmcp.io MCP service.
Convert GitHub URLs to gitmcp.io:
github.com/owner/repo → gitmcp.io/owner/repohttps://github.com/karpathy/llm-council → https://gitmcp.io/karpathy/llm-councilThe scripts/gitmcp.py script provides CLI access to repository docs.
python3 scripts/gitmcp.py list-tools owner/repo
Retrieves the full documentation file (README, docs, etc.):
python3 scripts/gitmcp.py fetch-docs owner/repo
Semantic search within repository documentation:
python3 scripts/gitmcp.py search-docs owner/repo "query"
Search code using GitHub Search API (exact match):
python3 scripts/gitmcp.py search-code owner/repo "function_name"
Fetch content from URLs mentioned in documentation:
python3 scripts/gitmcp.py fetch-url owner/repo "https://example.com/doc"
Call any MCP tool directly:
python3 scripts/gitmcp.py call owner/repo tool_name '{"arg": "value"}'
Tool names are dynamically prefixed with the repo name (underscored):
karpathy/llm-council → fetch_llm_council_documentationfacebook/react → fetch_react_documentationmy-org/my-repo → fetch_my_repo_documentationFor any repository, these tools are available:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
I recommend read-github for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for read-github matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend read-github for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: read-github is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in read-github — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: read-github is focused, and the summary matches what you get after install.
read-github has been reliable in day-to-day use. Documentation quality is above average for community skills.
read-github fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
read-github reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added read-github from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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