Does it include testing standards?

Absolutely. It includes guidelines for test coverage, independence, and robustness to ensure your code is reliable and easy to verify.

Can it help with legacy code refactoring?

Yes, it is specifically designed to identify 'code smells' like feature envy or deep message chains and provide step-by-step refactoring plans for complex systems.

Why use this skill instead of a basic prompt?

This skill provides a structured execution guide and quality metrics that force the AI to evaluate code through a systematic, multi-step professional lens.

How does this skill improve my code?

It applies rigorous standards like SOLID and DRY to identify structural weaknesses and suggest clear, maintainable improvements that standard linters might miss.

Code Quality Standards

Name: Code Quality Standards
Author: cuipengfei

bycuipengfei

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Developer Tools

Enforces industry-standard coding principles, design patterns, and clean architecture guidelines during AI-assisted development.

About

This skill transforms Claude into a high-level software architect by providing a rigorous framework of quality standards. It covers essential principles like SOLID, DRY, and KISS, while actively identifying code smells and anti-patterns to ensure code is maintainable, scalable, and testable. Whether you are performing a code review, refactoring a legacy module, or starting a new feature, this skill provides the systematic guidance needed to achieve professional-grade software design and avoid common technical debt traps.

Key Features

Proactive identification of code smells and architectural anti-patterns
Comprehensive SOLID principle enforcement and evaluation
Standards for robust, independent, and maintainable unit testing
Clear refactoring guidance for complex logic and 'God objects'
Implementation of DRY, KISS, and YAGNI best practices
5 GitHub stars

Use Cases

Design validation for new features to ensure modularity
Systematic refactoring of legacy codebases and long methods
Automated code review and architectural quality analysis

About

Key Features

Proactive identification of code smells and architectural anti-patterns
Comprehensive SOLID principle enforcement and evaluation
Standards for robust, independent, and maintainable unit testing
Clear refactoring guidance for complex logic and 'God objects'
Implementation of DRY, KISS, and YAGNI best practices
5 GitHub stars

Use Cases

Design validation for new features to ensure modularity
Systematic refactoring of legacy codebases and long methods
Automated code review and architectural quality analysis