What problem does it solve? Code reviews often miss critical issues because a single reviewer cannot cover security, architecture, performance, testing, and design simultaneously, and past lessons are forgotten between sessions. ## Core Features & Use Cases - Parallel Multi-Agent Review: Spawns specialized reviewers (security, architecture, performance, test-coverage, simplicity, and more) in an AgentTeam, scaling from 4 reviewers for small diffs to 13+ for large ones. - Lesson-Calibrated Reviewers: Pre-loads each reviewer with 3-5 relevant past lessons via memory search, with contradiction detection escalated to humans instead of auto-resolved. - Contract-Driven Verification: Validates Acceptance Criteria and Verification Contract evidence from the epic, conditionally triggering runtime verification, QA engineering, design craft review, and Playwright screenshots. - Use Case: After implementing a feature touching UI and API code, run this skill to verify every acceptance criterion, capture browser evidence at four viewports, classify all findings P0-P3, and block merge until the implementation-reviewer gate approves. ## Quick Start Ask the AI to run the review skill on the current epic's implementation to verify acceptance criteria and produce a severity-classified review report.