ehmo

ehmo / code-overhaul-skill

Public

Opinionated, interactive health audit for a codebase.

42
2
100% credibility
Found Apr 21, 2026 at 42 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

This project is an interactive skill for AI coding agents that conducts structured audits of software projects, evaluating key areas like architecture, code quality, tests, performance, and dependencies while providing prioritized recommendations and deferring tasks.

How It Works

1
👀 Discover the code doctor

You hear about a helpful tool that gives your software project a thorough health checkup, like a doctor spotting issues before they become problems.

2
🛠️ Add to your AI buddy

You easily connect this smart assistant to your AI coding helper with a simple setup, so it's ready to use right away.

3
🔍 Start the project scan

You tell your AI to examine your project folder, and it begins measuring the overall health and suggesting how deep to dive.

4
Choose your checkup style
✨
Quick surgical fix

Focus on one main issue in a single session for fast results.

📈
Step-by-step systematic

Tackle a few issues per area, building up steadily without overwhelm.

🚀
Full deep audit

Get a comprehensive plan covering everything, phased for big impact.

5
📋 Review each area

It walks you through structure, quality, testing, speed, and updates, pausing after each to hear your thoughts and approve changes.

6
🎯 Get your action plan

You receive clear recommendations with effort levels, simple diagrams, prioritized tasks, and even saves future work items neatly.

✅ Project ready to thrive

Your codebase now has a solid improvement roadmap, feeling organized and empowered to make it stronger and more reliable.

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Star Growth

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AI-Generated Review

What is code-overhaul-skill?

This Shell-based skill turns AI coding agents like Claude Code into an opinionated, interactive health audit for your codebase. It scans the repo, forces a scope choice upfront—surgical, systematic, or full—then steps through architecture, code quality, tests, performance, and dependencies with stack-specific checks for iOS/Swift, Go, and Web/JS/CSS. You get prioritized recommendations with effort/risk labels, ASCII diagrams, failure mode analysis, and deferred tasks filed as beads issues via CLI commands like `/code-overhaul ~/project`.

Why is it gaining traction?

It ditches vague code review dumps for structured pauses after each section, leading with clear "Recommendation: B" picks tied to principles like DRY or minimal diff—echoing github opinionated blueprints packed like 10 books full of rails wisdom. Developers hook on the no-scope-creep rule and beads integration, turning audits into shippable roadmaps with execution order and rollback plans. The interactive overhaul feels like a senior engineer walking you through priorities.

Who should use this?

Claude Code users auditing legacy Go services with unchecked errors or goroutine leaks. iOS maintainers chasing Swift concurrency gaps and dep swaps like RxSwift to Combine. Fullstack teams wrestling JS monorepos with bundle bloat and CSS chaos, needing a guided code health reset before overhauls.

Verdict

Grab it if you're in the Claude ecosystem—thorough docs and focused outputs punch above 42 stars, though 1.0% credibility signals early maturity without broad tests. Test on a side project; it's a skill booster for opinionated codebase audits.

(198 words)

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