clean-code

Reviews source code and refactors it for readability and maintainability using SOLID and TDD principles.

1|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/LuminairPrime/openwrt-docs4ai-pipeline --skill clean-code-luminairprime
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clean-code
Source: https://github.com/LuminairPrime/openwrt-docs4ai-pipeline/tree/main/.agents/skills/clean-code
Command: npx skills add https://github.com/LuminairPrime/openwrt-docs4ai-pipeline --skill clean-code-luminairprime

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Many codebases suffer from unclear names, oversized functions, duplicated logic, fragile classes, and missing tests that make changes risky and slow. Clean-code provides disciplined, actionable guidance to improve readability, reduce technical debt, and make refactors safe and testable.

Core Features & Use Cases

  • Provides targeted code review guidance focused on naming, function decomposition, abstraction levels, duplication, and error handling.
  • Applies SOLID principles and TDD practices to recommend minimal, test-backed refactorings and when not to apply heavy-handed patterns.
  • Use case: refine a long, hard-to-read function into a set of intention-revealing helpers, rename confusing identifiers for clarity, and outline the tests needed to protect the refactor.

Quick Start

Ask the agent to review a function or file and refactor it for clarity by improving names, extracting methods to enforce single responsibility, applying relevant SOLID moves, and suggesting tests.

Frequently Asked Questions about clean-code

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

FAQPage Schema
How do I refactor messy code into clear, maintainable functions?

To refactor messy code into clear, maintainable functions, you decompose oversized logic by extracting methods, applying intention-revealing names, and enforcing single responsibility. This reduces technical debt and makes future changes safer and easier to read.

What are common code smells and how do I fix them?

Common code smells include duplicated logic, unclear names, oversized functions, and fragile classes. You fix code smells by performing extract-method refactors, renaming identifiers for clarity, and applying SOLID principles to separate responsibilities.

How do I use TDD workflows to safely improve code readability?

You use TDD workflows to safely improve code readability by writing tests first to protect the refactor, then suggesting minimal, test-backed changes. This ensures your intention-revealing names and extract-method refactors do not break existing behavior.

When should I not apply heavy-handed design patterns during a code review?

You should not apply heavy-handed design patterns during a code review when the goal is strictly readability and maintainability. Avoid performance- or architecture-level prescriptions, and focus instead on minimal moves like naming improvements and function decomposition.

Can I review and refactor source code across mixed-language codebases?

Yes, you can review and refactor source code across mixed-language codebases. The guidance applies to small to medium codebases, handling mixed-language examples by targeting intention-revealing names, abstraction levels, and error handling.