What problem does it solve? After an implementation agent finishes work, free-form LLM critique produces inconsistent reviews with invented criteria and nit-chasing. This Skill replaces ad-hoc critique with a deterministic checklist so every review evaluates the same items with the same severity, and only blocking issues trigger fix loops. ## Core Features & Use Cases - Parallel Review Swarm: Spawns Auto-Eval, QA Agent, Verifier, PM Advisor, and conditional Visual Designer and User Satisfaction Auditor agents, each running a fixed checklist from review-checklist-manifest.json. - Severity-Gated Verdicts: Converges findings into PASS, PARTIAL, or FAIL based only on BLOCKING items; CONCERN and NIT findings are logged without triggering fix loops. - Cost-Controlled Swarm Sizing: Scales from 2 agents for trivial changes up to 6 for UI-affecting or Sprint Contract work, with an adaptive escalation ladder capping fix iterations. - Use Case: After an implementation agent records turnStatus: done on a multi-file UI change, run the review swarm to verify the harness gate passes, claimed files exist, tests were added, and rendered screens have no text overflow before sign-off. ## Quick Start Run a post-implementation review on the turn that just completed and report the verdict with any blocking findings.