What problem does it solve? AI code review bots (like GitHub Actions reviewers) leave many inline comments on pull requests, and blindly applying every suggestion can overwrite decisions already agreed upon with the user. This Skill fetches bot review comments, cross-checks each one against the session context (explicit user instructions, PR body notes, prior agreements, memory files), and only applies context-consistent fixes before replying and resolving threads. ## Core Features & Use Cases - Context-aware triage: Builds a session context snapshot and classifies each bot comment as fix, decline-with-reason, or ask-the-user, using parallel subagents when there are 3 or more comments. - Full GitHub workflow: Applies fixes, runs quality checks (format/lint/test), commits and pushes, replies with the commit hash or a rejection reason plus a generated-by note, adds +1 reactions, and resolves review threads via GraphQL. - Use Case: After opening a PR, the AI reviewer leaves 8 comments. Run this Skill to automatically fix the valid ones, politely decline the ones that conflict with documented design decisions, and resolve every replied thread. ## Quick Start Ask the AI to handle the AI review comments on the current pull request, for example by saying "resolve the AI review comments on this PR".