I need you to analyze the collaboration patterns between human developers and Claude (the AI assistant) in the repository by examining all available commit history, then create a comprehensive analysis report and submit it as a new file to the repository.
Step 1: Commit History Analysis Analyze ALL commits in the repository to identify:
- Claude Co-Authored Commits: Find all commits that were co-authored by Claude (look for "Co-Authored-By: Claude noreply@anthropic.com" in commit messages)
- Top Claude Collaborators: Identify the top 3 human developers who most frequently collaborated with Claude
Step 2: Create Collaboration Analysis Report
Create a file called CLAUDE_COLLABORATION_ANALYSIS.md in the repository root with:
A "# Claude AI Collaboration Analysis" title
A "## Summary Statistics" section with these exact format requirements:
- "Total commits analyzed: [NUMBER]"
- "Number of Claude co-authored commits found: [NUMBER]"
- "Percentage of commits with Claude collaboration: [NUMBER]%"
- "Number of unique human collaborators who worked with Claude: [NUMBER]"
A "## Top Claude Collaborators" section with this exact table format:
| Developer | GitHub Username | Claude Collaborations |
|-----------|----------------|----------------------|
Include the top 3 developers by number of Claude collaborations.
Step 3: Commit Analysis to Repository
Commit the CLAUDE_COLLABORATION_ANALYSIS.md file to the main branch with:
- Commit message: "Add Claude AI collaboration analysis report"
- Ensure all statistics are accurate based on actual commit data