Automatically audits and refines generated code for quality, performance, and accessibility before final output.
This skill acts as an automated quality gate for AI-generated code, scanning for common issues like linting errors, performance bottlenecks, and accessibility gaps. It goes beyond simple detection by applying auto-fixes—such as removing unused imports, extracting duplicate code, and optimizing file structure—to ensure that the final output is production-ready, clean, and tested before it is presented to the developer.
主な機能
01Automated linting and cleanup of unused imports and variables
02Accessibility auditing for image alt text and proper heading hierarchy
030 GitHub stars
04Structural optimization including component extraction and function splitting
05Regression verification to ensure auto-fixes don't break functionality
06Performance checks to prevent N+1 queries and blocking operations
ユースケース
01Enforcing organizational coding standards and naming conventions automatically
02Ensuring production-grade code quality for complex feature generation
03Polishing experimental AI outputs before user review or deployment
