What problem does it solve? AI agents often respond to code review feedback with performative agreement or blind implementation, leading to unverified changes, broken functionality, and wasted effort. This Skill enforces a disciplined response pattern: verify before implementing, ask before assuming, and prioritize technical correctness over social comfort. ## Core Features & Use Cases - Structured Response Pattern: Read, understand, verify, evaluate, respond, and implement feedback one item at a time with individual testing. - Source-Specific Handling: Differentiates trusted human partner feedback from external reviewer suggestions, applying skepticism and codebase verification to the latter. - Pushback and YAGNI Checks: Provides rules for pushing back on incorrect suggestions, checking for unused features before implementing, and gracefully correcting wrong pushback. - Use Case: When a reviewer on a GitHub pull request suggests removing legacy code or adding a metrics endpoint, the agent first greps the codebase for actual usage, verifies platform compatibility, and replies in the review thread with technical reasoning instead of blind agreement. ## Quick Start Apply the receiving-code-review skill to evaluate and respond to the review comments on my current pull request.
