What problem does it solve? Code review feedback often arrives unclear, incorrect, or scope-expanding, and blindly implementing it introduces regressions while performative agreement erodes technical rigor. This Skill enforces verification-first handling of review findings so only justified corrections are applied. ## Core Features & Use Cases - Evidence-Based Evaluation: Classifies each finding as a product defect, evidence gap, optional improvement, incorrect finding, or intent-changing proposal before acting. - Source-Specific Handling: Applies different rules for user direction versus external reviewer suggestions, with pushback supported by code, tests, or platform evidence. - Scoped Follow-Up Review: Reruns only review lanes affected by substantive changes, avoiding redundant full re-reviews. - Use Case: A reviewer claims a function breaks API compatibility; the agent verifies the claim against current code and requirements, then either applies the minimal fix or pushes back with concrete evidence. ## Quick Start Use the deepwork-receiving-code-review skill to evaluate this review feedback and implement only the verified findings.