history

Analyze git history to identify hotspots, temporal coupling, and contributor patterns.

46|4|Updated Nov 19, 2025

Search Tags:#analysis #git history #risk #hotspots #contributors #code-maat #temporal coupling

Ready to run

npx skills add https://github.com/lis186/SourceAtlas --skill history-lis186

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: history
Source: https://github.com/lis186/SourceAtlas/tree/main/plugin/commands/history
Command: npx skills add https://github.com/lis186/SourceAtlas --skill history-lis186

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps engineering teams understand the evolution of a codebase by extracting actionable signals from git history, including hotspots, temporal coupling, and recent contributors.

Core Features & Use Cases

Hotspot discovery: Identify files that change most often to guide refactoring and risk-focused reviews.
Temporal coupling insights: Detect files that frequently change together to reveal hidden dependencies.
Contributor mapping: Visualize who holds knowledge across modules to mitigate bus factor risks.

Quick Start

Run the history analysis over your repository to produce a structured report of hotspots, couplings, and contributors.

Frequently Asked Questions about history

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

FAQPage Schema

How do I identify code hotspots and risk areas from git history?▼

To identify code hotspots and risk areas from git history, you analyze files that change most frequently to guide refactoring and risk-focused reviews. This process surfaces high-churn modules prone to defects and maintenance issues.

What is temporal coupling in a codebase and how do I detect it?▼

Temporal coupling in a codebase refers to files that frequently change together, revealing hidden dependencies. You detect temporal coupling by analyzing git commit history to find modules consistently modified in the same commits.

How do I map contributor knowledge across modules to mitigate bus factor risks?▼

To map contributor knowledge across modules and mitigate bus factor risks, you analyze recent contributors from git history. This visualizes who holds specific codebase knowledge to guide knowledge transfer planning.

Do I need code-maat to analyze repository git history for temporal coupling?▼

Yes, you need code-maat or compatible tooling to analyze repository git history for temporal coupling. The analysis requires this tool to extract structured results including hotspots, coupling pairs, and contributor patterns.

Can I use git history analysis for software projects of any size?▼

Yes, you can use git history analysis for software projects of any size to identify risk areas and guide refactoring. The analysis extracts actionable signals from the repository to surface hotspots and contributor patterns.

What is the best way to reveal hidden dependencies in a software project?▼

The best way to reveal hidden dependencies in a software project is by extracting temporal coupling insights from git history. This detects files that frequently change together to expose underlying structural dependencies.