GitHub Browser Skill

A Claude Code skill that teaches AI agents to efficiently browse and explore GitHub repositories using the gh CLI. This skill provides optimized command patterns for reading repository content, issues, PRs, and performing searches—all without leaving the terminal.

Features

• Read-only GitHub operations via gh CLI and GitHub API
• Smart URL parsing — paste any GitHub URL and get the right content
• Efficient browsing patterns — optimized commands for common tasks
• Multi-channel search strategy — systematic approach to discovering repos and code
• Progressive disclosure design — core commands in main file, advanced scenarios in references

What This Skill Teaches

The skill provides AI agents with:

1. URL-to-action mapping — automatically determine what to do with GitHub URLs
2. Decision trees — navigate from intent ("I want to understand a repo") to the right commands
3. Command patterns — tested gh CLI commands with jq filters for precise data extraction
4. Search strategies — multi-channel approach for discovering related repositories and code
5. Advanced scenarios — handling large files, PR review comments, complex filters

Typical Use Cases

• Browse repository structure and read files
• View issues and pull requests with full context
• Explore PR diffs and review comments
• Search code, issues, and repositories
• Research a technology ecosystem (e.g., "find popular React UI libraries")
• Investigate a specific GitHub URL shared by someone

Installation

For Claude Code

1. Copy the skill to your Claude plugins directory:

   cp -r skills/github-browser ~/.claude/skills/

2. Verify installation:

   ls ~/.claude/skills/github-browser

For Other AI Agents

Package the skill into a distributable .skill file:

# If you have the skill-creator tools
python scripts/package_skill.py skills/github-browser

# Or manually zip the directory
cd skills && zip -r github-browser.skill github-browser/

Prerequisites

The skill requires the GitHub CLI (gh) to be installed and authenticated:

# Install gh CLI (macOS)
brew install gh

# Authenticate
gh auth login

# Verify
gh auth status

Structure

skills/github-browser/
├── SKILL.md                    # Main entry point with triggers and core commands
├── DESIGN.md                   # Design rationale and iteration guidelines
└── references/
    ├── repo-exploration.md     # File trees, reading files, metadata, branches
    ├── issues-and-prs.md       # Issues, PRs, diffs, review comments
    ├── search.md               # Code/issue/repo search with advanced filters
    └── search-strategy.md      # Multi-channel search methodology

How It Works

1. Skill triggering — When you give Claude Code a GitHub URL or ask to explore a repository, this skill automatically activates
2. Progressive loading — The main SKILL.md loads first with core commands; detailed references load on-demand
3. Command templates — Instead of generating scripts, the skill teaches command patterns that AI agents execute directly
4. Best practices — All commands have been tested and optimized for real-world usage

Example Interactions

Understanding a repository:

User: "Check out https://github.com/facebook/react"
→ AI uses: gh repo view facebook/react
→ AI uses: gh api repos/facebook/react/git/trees/main?recursive=1

Reading a specific file:

User: "Show me the package.json from the React repo"
→ AI uses: gh api repos/facebook/react/contents/package.json --jq '.content' | base64 -d

Exploring a PR:

User: "What changed in PR #1234 of react?"
→ AI uses: gh pr view 1234 -R facebook/react --comments
→ AI uses: gh pr diff 1234 -R facebook/react

Researching an ecosystem:

User: "Find popular TypeScript testing libraries"
→ AI uses multi-channel search:
  - gh search repos "typescript testing" --language typescript --sort stars
  - gh search code "import.*test" --language typescript
  - gh search repos --topic testing --topic typescript --sort stars

Real-World Use Case

See example-ecosystem-research.txt for a complete conversation transcript showing the skill in action.

Scenario: User wanted to find popular GitHub repositories related to the Pydantic AI framework to learn from the community.

What happened:

1. Initially, Claude Code tried using web search (less optimal for this task)
2. User explicitly invoked the github-browser skill
3. The skill applied its multi-channel search strategy:
   • Repository name/description search: gh search repos "pydantic-ai"
   • Topic-based search: gh search repos --topic pydantic-ai
   • Variant topic search: gh search repos --topic pydanticai
   • Natural language search: gh search repos "pydantic ai agent"
4. Cross-referenced results from all channels to find the most relevant projects

Results: Discovered 20+ high-quality repositories including:

• Official framework (14,795 stars)
• Observability platform (4,009 stars)
• Production application templates (560+ stars)
• Learning tutorials and documentation
• Real-world implementation examples

This example demonstrates how the skill's systematic approach outperforms simple keyword searches by using multiple discovery channels and cross-referencing results.

Design Principles

1. No custom scripts — Teach command patterns using native gh CLI + jq, not bash scripts
2. Concise main file — SKILL.md stays under 150 lines; details go to references/
3. Tested commands — All command patterns verified with real gh CLI
4. Extensible architecture — Structure allows future addition of write operations (create issue, comment, merge)

Limitations

• Read-only — Current version does not include write operations (creating issues, commenting, merging PRs)
• Requires authentication — Must have gh auth login completed
• Rate limits — GitHub API rate limits apply (especially for code search: 10 requests/min)
• Large repositories — Very large repos may have truncated file trees (skill includes fallback strategies)

Future Enhancements

The skill architecture is designed to support future additions:

• Write operations (create issues, comment on PRs, merge)
• GitHub Actions workflows viewing
• GitHub Discussions browsing
• Organization and team exploration
• Advanced webhook and integration management

Contributing

This skill follows the Skill Creator guidelines for Claude Code skills.

When contributing:

1. Test all commands — Verify with actual gh CLI before adding
2. Keep SKILL.md lean — Core commands only; move detailed scenarios to references/
3. Follow progressive disclosure — Don't load unnecessary context
4. Document in DESIGN.md — Record architectural decisions for future maintainers

License

[Include your license here, e.g., MIT, Apache 2.0]

Author

Created by [Your Name] for the Claude Code community.

Acknowledgments

• Built using the Claude Code Skill Creator
• Powered by GitHub CLI