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github-stars-analyzer

@chaorenex1/coding-agent-workflow
0
0

Analyzes GitHub repository data to generate comprehensive research reports about stars, popularity trends, and comparative insights

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name github-stars-analyzer
description Analyzes GitHub repository data to generate comprehensive research reports about stars, popularity trends, and comparative insights

GitHub Stars Research Analyzer

This skill provides in-depth analysis of GitHub repositories, tracking star growth, comparing popularity metrics, and generating research reports for open source projects and developer tools.

Capabilities

  • Repository Analysis: Extract and analyze key metrics (stars, forks, issues, contributors, activity)
  • Star Growth Tracking: Calculate daily, weekly, and monthly star growth rates and trends
  • Comparative Analysis: Compare multiple repositories across various metrics
  • Research Report Generation: Create comprehensive reports with insights and recommendations
  • Data Visualization: Generate charts and graphs for trend analysis
  • Export Formats: Output reports in Markdown, PDF, and JSON formats

Input Requirements

GitHub repository data can be provided in multiple formats:

  • Repository URLs: Direct GitHub repository links
  • Owner/Repo Names: GitHub owner and repository names
  • JSON Input: Structured data with repository information
  • CSV Lists: Multiple repositories in CSV format

Required fields:

  • Repository owner (username or organization)
  • Repository name
  • Optional: Time period for analysis (default: last 30 days)

Output Formats

Results include:

  • Metrics Summary: Key statistics and calculations
  • Growth Analysis: Star growth rates and trends
  • Comparative Insights: Multi-repository comparisons
  • Visualizations: Charts and graphs (when applicable)
  • Recommendations: Actionable insights for project maintainers
  • Export Options: Markdown, PDF, and JSON reports

How to Use

"Analyze the GitHub repository claude-code-skills-factory and generate a star growth report" "Compare the popularity of these three repositories over the last 90 days" "Track star growth trends for the Anthropic organization's repositories" "Generate a comprehensive research report on React's star growth patterns"

Scripts

  • github_api.py: Handles GitHub API interactions and data fetching
  • analyze_repository.py: Core analysis engine for repository metrics
  • generate_reports.py: Creates research reports in multiple formats
  • visualize_data.py: Generates charts and visualizations

Best Practices

  1. Respect Rate Limits: Always handle GitHub API rate limits gracefully
  2. Data Validation: Verify repository existence and accessibility
  3. Time Period Selection: Use appropriate time windows for meaningful analysis
  4. Comparative Context: Always provide industry/ecosystem context for metrics
  5. Privacy Considerations: Respect private repositories and user privacy

Limitations

  • API Rate Limits: GitHub API has strict rate limits (60 requests/hour unauthenticated)
  • Historical Data: Limited historical data availability through API
  • Private Repositories: Cannot access private repositories without proper authentication
  • Data Freshness: Real-time data depends on GitHub API updates
  • Repository Age: New repositories may not have sufficient historical data