clean code refactor planner
by nowrich
Analyzes codebases to generate prioritized, dependency-aware refactoring plans with concrete implementation steps.
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Works with the AI tools you already use
See it in action
You say
Analyze my React frontend in /src and create a refactoring plan to move from prop-drilling to a centralized state management pattern.
Your agent does
I've analyzed 14 components. Phase 1: Extract shared types to /types/store.ts. Phase 2: Implement Context Provider in /context/AppStore.tsx. Phase 3: Refactor Navbar and Sidebar to consume the new hook. Risk: Prop-drilling in UserProfile is coupled with local API calls; refactor API logic first.
What you get
About this skill
The problem
Refactoring complex codebases often leads to broken dependencies and endless "yak shaving" when done without a map. Developers struggle to prioritize cleanup while managing file interdependencies and technical debt hotspots.
What it does
- Analyzes your project filesystem to map file relationships and architectural anti-patterns.
- Generates a prioritized, multi-phase refactoring roadmap from prerequisites to final integration.
- Identifies technical debt hotspots and high-risk coupling before you touch a line of code.
- Provides concrete code examples showing exactly how to transform messy logic into clean patterns.
- Structures work into independent, testable blocks to ensure incremental progress without breaking the build.
Frameworks & tools
Tested on .NET, React, and JavaFX projects. Compatible with any stack when given Claude filesystem access.
Why this beats prompting it yourself
Basic prompts give generic advice like "use SOLID." This skill performs a deep analysis of your actual file tree to detect hidden circular dependencies and architectural risks. It builds a structural plan that respects your specific dependency order, which a standard LLM conversation cannot do reliably.
Use cases
- Legacy codebase migrations where file relationships are poorly documented.
- Breaking down monolithic files into modular, maintainable components.
- Preparing a project for a major framework upgrade or architecture shift.
- Onboarding to a messy project that requires immediate technical debt reduction.
Known limitations
Requires full filesystem access to read and analyze source code. Effectiveness depends on the agent's ability to traverse the directory structure.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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