What problem does it solve? Code issues caught late compound into larger problems, and self-review often misses defects in your own work. This Skill provides a structured workflow for requesting an independent code review of completed changes before they merge or cascade into subsequent tasks. ## Core Features & Use Cases - Subagent-Based Review: Dispatches a fresh code reviewer subagent with precisely crafted context (description, requirements, git SHAs) instead of your session history, keeping the reviewer focused on the work product. - Structured Review Template: Ships a reusable code-reviewer.md prompt template that checks plan alignment, code quality, architecture, testing, and production readiness, returning severity-categorized findings (Critical / Important / Minor). - Workflow Integration: Defines mandatory review checkpoints for subagent-driven development, plan execution, and pre-merge verification. - Use Case: After finishing a feature task, you capture the base and head commit SHAs, dispatch the reviewer subagent with the template, receive categorized feedback, fix Critical and Important issues, and then proceed to the next task. ## Quick Start Ask the AI to request a code review of the changes between the previous commit and HEAD using the code reviewer template.