What problem does it solve? Agent-generated designs and code can look fluent while hiding structural defects: invented semantics, design-to-code contradictions, shallow abstractions, and unverified claims. This Skill provides a disciplined, read-only review workflow that judges whether a design and its implementation actually reduce lifecycle complexity. ## Core Features & Use Cases - Design-to-code traceability: Builds a matrix mapping each design claim to implementation and verification evidence with statuses like implemented, contradicted, or unverified. - Complexity analysis: Evaluates change amplification, cognitive load, module depth, information leakage, and error semantics using a documented review model. - Structured review report: Produces severity-ordered findings, a verdict (Approve, Approve with changes, Request redesign, or Insufficient evidence), verification gaps, and open questions. - Use Case: After a coding agent delivers a design document plus a diff, run this Skill to confirm the code fulfills the documented claims, detect agent-specific failure modes like invented APIs or swallowed errors, and receive an evidence-backed verdict before approval. ## Quick Start Use the review-coding-agent-design skill to review this design document and its corresponding diff for complexity, alignment, and evidence-backed risks.