code-reviewer

To automate code review for a pull request, this skill analyzes code changes to identify quality, security, and performance issues, categorizes them by severity, and generates a formal review report with an approval decision. It applies standards loaded from REFERENCE.md or default templates to structure the feedback.

You can check your git diff for security and performance issues by running this skill against uncommitted changes or pull requests. It analyzes the diff, categorizes identified issues as Critical, Important, or Suggestions, and outputs a structured code review report.

Yes, you can use custom coding standards during an automated code review by loading them from a REFERENCE.md file. If no custom standards are provided, the skill applies default templates to evaluate code quality, security, and performance.

The best way to categorize issues found in a code diff is to classify them by severity and impact. This skill automatically categorizes detected quality, security, and performance issues into Critical, Important, or Suggestions to generate a structured review feedback report.

Yes, automated code review generates an approval decision for changes. After analyzing the diff and evaluating the categorized issues against the loaded checklist, this skill produces a formal Code Review Report that includes a decision to approve or request changes.