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    git-stats

    by Kevin Cline

    Generate comprehensive repository analytics and contributor insights from your git history.

    Updated May 2026
    65 views
    Security scanned

    $12

    · or 60 credits

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    Included in download

    • Identify high-churn files that may need refactoring
    • Analyze team contribution patterns and distribution across the codebase
    • terminal automation included
    • Includes example output and usage patterns
    • Instant install

    See it in action

    A real example of what this skill takes in and produces.

    Sample output

    Git Stats: project-x 2,450 commits | 12 contributors | 2y 4m old

    Top contributor: Jane Doe (840 commits, 34%) Busiest day: 2023-11-14 Current streak: 5 days Longest streak: 22 days

    Most changed file: src/utils/core.ts (112 commits)

    Full report saved: ./GIT_STATS.md

    About This Skill

    What it does

    Git Stats is a comprehensive repository mining tool that transforms raw git history into a deep analytical report. It automates the complex process of parsing git logs, calculating contribution metrics, and identifying repository hotspots. Instead of manually running multiple terminal commands, the skill scrapes high-fidelity data to generate a centralized GIT_STATS.md report.

    Why use this skill

    Manually auditing a repository's health or contributor activity is time-consuming and prone to human error. This skill provides values that standard git commands don't show natively, such as commit streaks, language distribution by file count, and activity heatmaps by hour or day of the week. It identifies "hot files" that change most frequently, helping developers pinpoint technical debt or areas requiring refactoring.

    Supported tools

    The skill utilizes standard git CLI tools combined with bash for data processing. It works on any local git repository regardless of the programming language or framework used.

    Output

    The skill produces a rich Markdown report featuring ASCII bar charts, formatted tables, and a high-level summary. It details top contributors, monthly activity trends, commit size averages, and peak productivity periods.

    Use Cases

    • Identify high-churn files that may need refactoring
    • Analyze team contribution patterns and distribution across the codebase
    • Track commit streaks and developer activity heatmaps over time
    • Audit repository growth with monthly commit trends and language breakdowns

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    Creator

    K
    Kevin Cline

    ClawdWorks

    Builder of autonomous AI agents and Claude Code skills. ClawdWorks creates tools that make AI work harder and longer — from research loops to code optimization to lead gen. Powered by Claude Opus 4.6 + Codex 5.4.

    Frequently Asked Questions

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