Agent skill · Code Review & Quality

analyze-github-repo

Deep analysis of a GitHub repository for tool spotlight inclusion in news digests. Evaluates the project''s purpose, quality, popularity trajectory, and usefulness for AI practitioners. '

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill analyze-github-repo --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Requires: Requires OpenAI-compatible LLM API access and GitHub API access
Path: skills/analysis/analyze-github-repo/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Analyze GitHub Repo Evaluate a GitHub repository for potential inclusion as a tool spotlight in the news digest. ## When to Use - Evaluating trending repos for digest tool spotlight section - Assessing quality and usefulness of new AI tools - Creating tool recommendation summaries - Keywords: github, repository, tool, library, spotlight, analysis ## Prerequisites - Repository metadata available (from fetch-github-trending) - Network access to GitHub for README fetch (optional) ## Input Schema ```json { "repo": { "full_name": "owner/repo-name", "name": "repo-name", "description": "Repository description", "url": "https://github.com/owner/repo-name", "stars": 5000, "forks": 300, "language": "Python", "topics": ["llm", "machine-learning"], "created_at": "2025-06-15", "pushed_at": "2026-01-26", "open_issues": 42 }, "include_readme": true } ``` ## Actions ### Step 1: Assess Project Category Classify the repository: - **Framework**: Full framework for building applications (e.g., LangChain) - **Library**: Focused library for specific task (e.g., sentence-transformers) - **Tool**: Standalone tool or CLI (e.g., ollama) - **Model**: Model weights or implementation (e.g., Llama) - **Datase

What's inside
Steps it walks through
  1. When to Use
  2. Prerequisites
  3. Input Schema
  4. Actions
  5. Step 1: Assess Project Category
  6. Step 2: Evaluate Quality Signals
  7. Step 3: Analyze Popularity Trajectory
  8. Step 4: Determine Use Cases
  9. Step 5: Identify Differentiators
  10. Step 6: Fetch and Analyze README (if enabled)
  11. Step 7: Generate Spotlight Summary
  12. Step 8: Determine Spotlight Worthiness
  13. Output Schema
  14. Success Criteria
Ships with 1 file
  • metadata.json
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About this skill
What does the analyze-github-repo skill do?

Deep analysis of a GitHub repository for tool spotlight inclusion in news digests. Evaluates the project''s purpose, quality, popularity trajectory, and usefulness for AI practitioners. '

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill analyze-github-repo --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going