What problem does it solve? Reviewing a teammate's pull request thoroughly is hard: reviewers often skim diffs, miss linked issue context, lose track of prior review threads, and hesitate to ask clarifying questions. This Skill structures the human review process so the reviewer actually understands the change before approving it. ## Core Features & Use Cases - PR and Issue Summarization: Uses the GitHub CLI (gh) to inspect the PR title, description, changed files, commits, and linked issues, then produces a reviewer-focused summary of what changed, data flow changes, rationale, and risks. - Follow-Up Review Tracking: For non-first-pass reviews, surfaces unresolved prior review comments and highlights what changed since the reviewer's last activity. - Understanding Quiz: Asks at least three targeted questions about data flow, control points, and design rationale to verify the reviewer's comprehension. - Approved Comment Posting: Drafts clarification comments for confusing areas and posts them only after explicit approval, always prefixed with [AI-assisted]. - Use Case: A reviewer returning to a long-running PR asks the assistant to walk them through it; the assistant summarizes the delta since their last review, quizzes them on the new data flow, and posts an approved [AI-assisted] comment asking the author to explain a hidden assumption. ## Quick Start Ask the assistant to guide you through reviewing a specific GitHub pull request by providing its URL.