Review Skill Improver

소개

The Review Skill Improver is a specialized tool designed to create a continuous improvement loop for automated code reviews within Claude Code. By processing structured feedback data, it identifies rules with high rejection rates, detects missing coverage, and provides actionable recommendations to update skill definitions. It is particularly useful for development teams that want to move beyond generic linting toward high-precision, context-aware code analysis based on empirical performance data and real-world developer feedback.

주요 기능

• Aggregates feedback by rule source to calculate rejection and acceptance rates
• Differentiates between intentional design decisions and actual coding errors
• 14 GitHub stars
• Generates specific markdown recommendations for skill modifications and fixes
• Identifies high-rejection rules and common false positive themes automatically
• Produces structured improvement reports with data-backed evidence and impact projections

사용 사례

• Tailoring code review skills to match specific project-level framework patterns
• Reducing noise in automated PR reviews by refining over-active or outdated rules
• Creating a data-driven documentation cycle for internal coding standards and best practices