git-ai-archaeology

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.