Identify high-churn files in Git repositories using churn and complexity signals.
npx skills add https://github.com/snqb/my-skills --skill hotspot-detective
Please help me install this Agent Skill. Skill: hotspot-detective Source: https://github.com/snqb/my-skills/tree/main/hotspot-detective Command: npx skills add https://github.com/snqb/my-skills --skill hotspot-detective
Identify high-churn files in a codebase to surface hotspots.
Run the hotspot detector to identify files with the highest churn in your codebase.
High-intent search queries and answers about installing and using this skill.
Git forensics identifies code hotspots by analyzing recent repository history to surface files with high churn, temporal coupling, and complexity, helping prioritize candidates for refactoring or deeper investigation.
Code hotspots are files with high churn and complexity. Temporal coupling identifies files frequently changed together in Git commits, revealing hidden dependencies and prioritizing refactoring targets to improve code quality.
Yes, hotspot detection requires Git tooling and assumes a standard project layout. It analyzes repositories across recent history to surface files with high churn, complexity, and refactoring needs.
The best way to surface top churn hotspots is running a detector that analyzes Git history to evaluate churn rates, temporal coupling, and complexity signals, generating a prioritized list of volatile files for refactoring.
This analysis applies to Git repositories across recent history. Repositories with limited commit history may lack sufficient churn and temporal coupling signals to effectively surface complexity hotspots or prioritize refactoring needs.
HaaaiawdAnalyze Git commit history to detect temporal coupling and code hotspots.
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Intense-VisionsAnalyze Git history and churn data to rank structural risk hotspots.
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