Analyze git history to identify hotspots, temporal coupling, and contributor patterns.
npx skills add https://github.com/lis186/SourceAtlas --skill history-lis186
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
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.
Run the history analysis over your repository to produce a structured report of hotspots, couplings, and contributors.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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VKirillAnalyze git history to prioritize refactoring targets by change frequency and complexity.
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lis186Analyze git history to identify hotspots, coupling, and knowledge distribution.
