How does code-review-auto handle unused code?

It automatically identifies and removes unused imports, variables, and console logs to keep the codebase clean and lean.

Can it improve web accessibility?

Yes, it scans for missing alt text, checks heading hierarchies, and ensures interactive elements are focusable, generating fixes from context.

Will I see the intermediate messy code?

No, the process is internal. You only see the final, polished code and a working preview once all quality checks have passed.

Does it break existing functionality during the fix process?

The skill includes a verification step that automatically re-runs tests after applying fixes to ensure that structural changes haven't introduced regressions.

Auto Code Reviewer

Name: Auto Code Reviewer
Author: timequity

bytimequity

协作工具

Automatically audits and refines generated code for quality, performance, and accessibility before final output.

关于

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.

主要功能

Automated linting and cleanup of unused imports and variables
Accessibility auditing for image alt text and proper heading hierarchy
0 GitHub stars
Structural optimization including component extraction and function splitting
Regression verification to ensure auto-fixes don't break functionality
Performance checks to prevent N+1 queries and blocking operations

使用场景

Enforcing organizational coding standards and naming conventions automatically
Ensuring production-grade code quality for complex feature generation
Polishing experimental AI outputs before user review or deployment

关于

主要功能

Automated linting and cleanup of unused imports and variables
Accessibility auditing for image alt text and proper heading hierarchy
0 GitHub stars
Structural optimization including component extraction and function splitting
Regression verification to ensure auto-fixes don't break functionality
Performance checks to prevent N+1 queries and blocking operations

使用场景

Enforcing organizational coding standards and naming conventions automatically
Ensuring production-grade code quality for complex feature generation
Polishing experimental AI outputs before user review or deployment