clean-code-guard

To review code for LLM-specific failure modes and clean code principles, use this Skill to check generated code against SOLID, DRY, KISS, YAGNI, and 14 documented LLM failure modes. It provides real-time suggestions and automated refactoring recommendations.

The best way to check AI-generated code for clean coding standards is to invoke this Skill during your code review stage. It evaluates your code changes against clean coding principles and identifies LLM-specific code quality issues before you commit.

Yes, this clean code review tool checks for SOLID principles and DRY violations. It reviews code to ensure adherence to clean, efficient, and AI-safe coding practices by analyzing your codebase against these specific software engineering rules.

To get automated refactoring recommendations for code quality issues, run this Skill to review your code. It recommends code refactorings for improvement without changing functionality, ensuring your code maintains high standards.

Yes, you can use this Skill to review code changes in your current pull request. It is intended for use in code review and refactoring stages of the development lifecycle to perform comprehensive code quality checks.

You need to check code against LLM-specific failure modes whenever you use AI for code generation. This Skill performs code quality checks against 14 LLM failure modes documented in its references to ensure your AI-generated code is safe and clean.