What problem does it solve? Reviewing AI-generated code and features often lacks structure, leading to inconsistent decisions, missed security issues, and vague feedback. This Skill provides a single combined checklist so every review ends with a clear decision and documented findings. ## Core Features & Use Cases - Structured Review Decisions: Every review concludes with Approved, Approved with fixes, Needs revision, Blocked, or Rejected, plus an acceptance gate. - Multi-Domain Checklists: Covers requirement fit, code structure and error handling, UX/UI and accessibility, QA test coverage, and security (secrets, auth, input validation, rate limiting). - Issue Severity Table: Standardized template for logging issues by severity, area, impact, and required fix. - Use Case: A technical product owner receives a completed feature from an AI developer agent and uses this checklist to verify acceptance criteria, flag a hardcoded token as a blocker, and return a structured Needs revision decision with required fixes. ## Quick Start Review the attached feature implementation using the code, UX, QA, and security review checklist and give me a decision with an issue table.
