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git-ai-archaeology

Analyze AI configuration evolution in a git repository and output a markdown report.

Updated Apr 12, 2026
Search Tags:#git#changelog#timeline#pr-analysis#commit-analysis#ai-config#git-archaeology
One-click install
npx skills add https://github.com/Alamator/code-ultimate --skill git-ai-archaeology
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: git-ai-archaeology
Source: https://github.com/Alamator/code-ultimate/tree/main/examples/skills/git-ai-archaeology
Command: npx skills add https://github.com/Alamator/code-ultimate --skill git-ai-archaeology

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a reproducible way to uncover the historical evolution of AI-related configuration and tooling inside a git repository, answering when specific AI config files appeared, how commit activity changed over time, which pull requests drove changes, and what maturity phases the project went through.

Core Features & Use Cases

  • First-commit discovery: locate the origin commit for common AI-config paths (.claude, .agents, CLI files, docs) and produce a chronological creation timeline.
  • Monthly distribution & trends: compute AI-config commit velocity per month, percentage of repo activity, and ASCII visualizations to highlight inflection points.
  • Major PRs and phase synthesis: extract PR/merge commit candidates related to AI tooling, analyze CHANGELOG mentions if present, and synthesize evidence-based maturity phases into a single markdown report.
  • Use Case: security reviewers, engineering managers, and maintainers can audit AI configuration adoption and identify when infrastructure or guardrails were introduced.

Quick Start

Run the skill against a local git repository path to generate a single markdown report summarizing AI-config first commits, monthly trends, major PRs, changelog findings, and evolution phases.

Frequently Asked Questions about git-ai-archaeology

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track the history of AI configuration files in a git repository?▼

Tracking AI configuration history in a git repository involves analyzing commit logs to locate first commits for paths like .claude or .agents, aggregating monthly commit distributions, and extracting PR candidates to generate a chronological markdown report.

What is git archaeology for AI tooling adoption?▼

Git archaeology for AI tooling adoption is the process of uncovering the historical evolution of AI configs inside a repository to answer when specific files appeared, how commit activity changed, and what maturity phases the project went through.

Can I find when a specific AI config file was first added to my repo?▼

Yes, finding when a specific AI config file was first added involves locating the origin commit for common AI-config paths and producing a chronological creation timeline as part of a markdown report.

Does analyzing git timelines for AI configs require special access?▼

Analyzing git timelines for AI configs requires git CLI access and a readable local repository path to compute commit velocity and identify major PRs without needing external dependencies.

How do I identify which pull requests drove changes to AI tooling?▼

Identifying which pull requests drove changes to AI tooling involves extracting PR and merge commit candidates related to AI configs, analyzing CHANGELOG mentions if present, and synthesizing evidence-based maturity phases into a report.

What is the best way to visualize AI commit velocity over time?▼

Visualizing AI commit velocity over time is best achieved by computing monthly AI-config commit distributions, calculating the percentage of repo activity, and generating ASCII visualizations to highlight inflection points.

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