质量标准 - 代码质量、设计模式和反模式的统一指南。包含 SOLID 原则、代码异味识别和最佳实践。
The 'quality-standards' AI skill is designed to provide a unified set of guidelines for maintaining high code quality, adhering to design patterns, and avoiding anti-patterns. It aims to solve the problem of ensuring clean, maintainable, and efficient code by applying a range of best practices and principles that developers can follow. This skill focuses on promoting consistent coding standards and preventing common pitfalls in software development, thereby improving overall software quality across projects.
You can use the quality-standards skill during code reviews, quality analysis, and refactoring tasks. It helps in evaluating code against established standards, identifying code smells, and suggesting improvements.
While the principles outlined in the 'quality-standards' skill are language-agnostic, specific guidelines might be more applicable to certain languages or ecosystems, such as Java, Python, or JavaScript.
The skill does not automatically refactor code or detect language-specific issues without manual input. Additionally, it doesn't directly integrate with IDEs or CI/CD pipelines, so usage is dependent on manual review processes.
Quick Setup:
.claude/skills/Repository
cuipengfei/prompts