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analyze-code-churn

Analyze Git repository code churn and classify rework patterns.

4|Updated Mar 11, 2026
Search Tags:#developer productivity#git analysis#code health#code churn#temporal coupling#rework#thrashing
One-click install
npx skills add https://github.com/cpliakas/claude-code-engineering-leaders --skill analyze-code-churn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze-code-churn
Source: https://github.com/cpliakas/claude-code-engineering-leaders/tree/main/skills/analyze-code-churn
Command: npx skills add https://github.com/cpliakas/claude-code-engineering-leaders --skill analyze-code-churn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify and diagnose code churn, thrash, and rework patterns within a Git repository, providing insights into the health and efficiency of the software development lifecycle.

Core Features & Use Cases

  • Hotspot Detection: Pinpoints files with the highest change frequency and complexity.
  • Thrashing Analysis: Identifies files modified repeatedly in short windows, signaling potential rework or architectural issues.
  • Rework Classification: Differentiates between healthy refactoring and costly rework based on modification recency.
  • Temporal Coupling: Detects files that are frequently modified together, revealing hidden dependencies.
  • Severity Assessment: Rates findings based on deviation from project baselines, considering context like sprint phase or deadlines.
  • Use Case: Use this Skill during sprint retrospectives to understand why certain areas of the codebase are experiencing high churn, or to proactively identify potential delivery risks before they impact deadlines.

Quick Start

Analyze code churn for the last 30 days, focusing on the src/api directory.

Frequently Asked Questions about analyze-code-churn

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

FAQPage Schema
How do I analyze Git repository code churn to identify hotspot files?▼

To analyze Git code churn, the Skill examines commit history to pinpoint hotspot files with the highest change frequency, classifies modifications as rework or refactoring, and outputs a structured report detailing code health friction.

What is temporal coupling in Git history and how does it reveal hidden dependencies?▼

Temporal coupling in Git history detects files that are frequently modified together in commits, revealing hidden dependencies and architectural friction so teams can address systemic issues before they impact delivery.

Can I use Git thrashing analysis to diagnose rework patterns during a sprint?▼

Yes, you can use Git thrashing analysis to identify files modified repeatedly in short windows, differentiating costly rework from healthy refactoring to diagnose systemic issues for sprint retrospectives.

How does code churn severity assessment work for SDLC health checks?▼

Code churn severity assessment rates findings by comparing deviation against project baselines and context modifiers like sprint phases, producing actionable insights for SDLC health checks and delivery risk identification.

What's the best way to proactively detect delivery risks from code thrash patterns?▼

The best way to detect delivery risks from code thrash is analyzing repository commit patterns to identify high-frequency modifications and rework hotspots, generating actionable insights before deadlines are impacted.

Do I need a specific Git repository structure to detect rework and refactoring patterns?▼

You need a standard Git repository with sufficient commit history to detect rework and refactoring patterns, allowing the analysis to classify changes based on modification recency and establish project baselines.

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