What problem does it solve? Code reviews often collapse into style opinions or miss whether the change actually implements its specification. This Skill enforces a spec-first review of diffs, files, or features against the project's production standards, and routes findings into the development loop so nothing gets lost. ## Core Features & Use Cases - Spec-first review: Checks whether a change satisfies its .feature scenarios, SRS requirements, and techdoc component map before evaluating style, architecture, SOLID, DRY, and test quality. - Findings routed to state: Every finding becomes a structured row with severity, category, and a route_to target so the SDLC loop can act on it; blocker and major findings block the G6 gate. - AI prompt review: When the change involves LLM prompts, it validates version bumps, guardrails, token budgets, cost, latency, and eval deltas against baseline. - Use Case: After finishing a feature branch, invoke /review with the FEAT-ID to get a ship/revise/block verdict report with concrete fix diffs, without the reviewer ever modifying your code. ## Quick Start Ask the AI to run /review on the staged changes to verify they meet the specification and production standards before opening a pull request.