What problem does it solve? Responding to GitHub pull request reviews requires manually reading every inline thread, conversation comment, and review body, deciding which feedback to accept, writing replies, and implementing fixes. This Skill automates that end-to-end review-response workflow using the gh CLI. ## Core Features & Use Cases - Review Context Fetching: Pulls review bodies, inline review threads, and PR conversation comments into one JSON payload via the GitHub GraphQL API. - Actionable Item Normalization: Converts raw review data into adjudicated action items, filtering out resolved, outdated, or self-authored comments. - Evidence-Based Adjudication: Applies documented decision and reply policies to accept, reject, or request clarification on each comment, then posts structured replies with dry-run support. - Use Case: Given a PR URL with a dozen reviewer comments, fetch the context, judge each item against repository evidence, reply to inline threads in Japanese, implement only the accepted fixes, validate, and push a single commit. ## Quick Start Use the gh-review-autofix skill to handle all review comments on https://github.com/owner/repo/pull/123, replying to reviewers and fixing the accepted items.
