code-refactoring-refactor-clean
Makes your agent improve code quality and performance. It applies best practices to make code easier to maintain and more efficient.
What it does
This tool helps improve your programming code. It makes it easier to understand, maintain, and more efficient by following good software engineering practices.
When to use it
- ✓When your code is confusing and hard to fix.
- ✓To remove repetitive or complicated parts of the code.
- ✓To prepare code for adding new features safely.
Example of what to ask your AI
“Can you refactor this code to make it cleaner and easier to understand?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI analyzes your code for issues, suggests a step-by-step improvement plan, and applies changes, ensuring everything still works as before.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill code-refactoring-refactor-cleanOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/code-refactoring-refactor-clean/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Refactor and Clean Code
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
Use this skill when
- Refactoring tangled or hard-to-maintain code
- Reducing duplication, complexity, or code smells
- Improving testability and design consistency
- Preparing modules for new features safely
Do not use this skill when
- You only need a small one-line fix
- Refactoring is prohibited due to change freeze
- The request is for documentation only
Context
The user needs help refactoring code to make it cleaner, more maintainable, and aligned with best practices. Focus on practical improvements that enhance code quality without over-engineering.
Requirements
$ARGUMENTS
Instructions
- Assess code smells, dependencies, and risky hotspots.
- Propose a refactor plan with incremental steps.
- Apply changes in small slices and keep behavior stable.
- Update tests and verify regressions.
- If detailed patterns are required, open
resources/implementation-playbook.md.
Safety
- Avoid changing external behavior without explicit approval.
- Keep diffs reviewable and ensure tests pass.
Output Format
- Summary of issues and target areas
- Refactor plan with ordered steps
- Proposed changes and expected impact
- Test/verification notes
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
What are 'code smells'?
They are indicators in the code that suggest something might be wrong or could be improved, like repetition or excessive complexity.
What does 'SOLID' mean?
It's a set of five design principles to make software more understandable, flexible, and maintainable.
Will the AI change what my program does?
No, the AI only makes changes to improve code quality without altering the program's original behavior unless you approve.
Details
Original description by the author
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2570
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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