Git Stats

    3

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

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    Run git-stats on project-x to see contributor activity and file hotspots.

    Your agent does

    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

    What you get

    Identify high-churn files that may need refactoringAnalyze team contribution patterns and distribution across the codebaseTrack commit streaks and developer activity heatmaps over timeAudit repository growth with monthly commit trends and language breakdowns

    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.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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