What problem does it solve? When receiving code review feedback, AI assistants often respond with performative agreement or blindly implement suggestions without verifying them against the actual codebase. This Skill enforces a disciplined response pattern: read, understand, verify, evaluate, then implement or push back with technical reasoning. ## Core Features & Use Cases - Structured Response Pattern: A six-step workflow (read, understand, verify, evaluate, respond, implement) that prevents premature or incorrect implementation of review feedback. - Source-Specific Handling: Different rules for feedback from a trusted human partner versus external reviewers, including verification checklists and pushback guidance. - YAGNI and Unclear-Feedback Checks: Instructions to grep the codebase for actual usage before adding features, and to stop and ask for clarification when any feedback item is unclear. - Use Case: A reviewer suggests removing legacy code or adding a metrics endpoint. Instead of agreeing, the assistant checks build targets and greps for callers, then either implements the fix, pushes back with technical reasoning, or asks for clarification. ## Quick Start Apply the receiving-code-review skill to evaluate and respond to the review comments on my current pull request.
