What problem does it solve? When receiving code review feedback, AI agents often respond with performative agreement or blindly implement suggestions that may be unclear, technically wrong, or conflict with existing architecture. This Skill enforces technical rigor: verify before implementing, ask before assuming, and push back with reasoning when feedback is incorrect. ## Core Features & Use Cases - Structured Response Pattern: Read, understand, verify, evaluate, respond, then implement feedback one item at a time with individual testing. - Source-Specific Handling: Distinguishes trusted feedback from your human partner versus external reviewer suggestions that require skeptical verification against the codebase. - YAGNI and Pushback Checks: Greps for actual usage before building "proper" features and provides technical reasoning patterns for declining incorrect suggestions. - Use Case: A reviewer asks to remove legacy code. Instead of agreeing, you check build targets, discover backward-compatibility requirements, and respond with a technically grounded question before changing anything. ## Quick Start Use the receiving-code-review skill to evaluate this pull request feedback and tell me which items to implement, clarify, or push back on.
