What problem does it solve?
Code changes often slip through with hidden quality issues, inconsistent patterns, or missing security/performance considerations, and teams may not realize when test coverage is insufficient until later.
Core Features & Use Cases
- Quality-first review: Produces a structured assessment of code changes focused on best practices, DRY principles, security, and performance, including a commit-readiness signal.
- Testing gap detection: Optionally evaluates testing needs and coverage by running tests and analyzing coverage when the quality report suggests gaps or the changes are significant.
- Unified reporting: Combines the code-quality report and the testing assessment into a single consolidated result for faster decision-making.
Quick Start
Ask the AI to run the review-code skill on your current changes and include testing analysis if gaps are detected.