What problem does it solve? Code changes often get merged without independent verification, letting bugs, architecture flaws, and unmet requirements slip into production. This Skill structures the review request process so every task or feature gets evaluated by a dedicated reviewer subagent with precisely crafted context. ## Core Features & Use Cases - Subagent-Based Review: Dispatches a superpowers:code-reviewer subagent with a filled template containing what was implemented, the plan, and git SHAs, keeping the reviewer focused on the work product. - Severity-Categorized Feedback: Returns issues classified as Critical, Important, or Minor with file:line references, plus a clear merge-readiness verdict. - Workflow Integration: Defines mandatory review points for subagent-driven development, plan execution, and pre-merge checks. - Use Case: After completing a feature task, you capture the base and head commit SHAs, dispatch the reviewer with the requirements, receive categorized feedback, fix Critical and Important issues, then proceed to the next task. ## Quick Start Ask the AI to request a code review of your latest commits using the code-reviewer template before merging to main.