What problem does it solve? AI-generated PR reviews produce lists of findings that someone must manually triage, fix, and respond to across scattered review threads. This Skill automates that loop: it parses the review, recommends fix or skip per issue, applies the chosen fixes, and routes the results back to the right place on the pull request. ## Core Features & Use Cases - Analyse mode: Fetches the AI review for a PR, extracts each issue with priority and reasoning, and outputs a recommendation table without changing any code. - Execute mode: Applies per-issue decisions (e.g. 1=fix 2=skip), commits fixes, and enforces a mandatory empty re-verification commit when critical or high findings exist. - Source-aware routing: Auto-detects GitHub Copilot reviews versus other AI reviewers; Copilot results are posted as thread replies and resolutions, while other reviews append notes to the PR description. - Use Case: After a Copilot review flags five issues on PR 48, run analyse to get recommendations, then execute with your decisions so each thread gets a reply, is resolved, and a summary comment is posted. ## Quick Start Ask the agent to analyse the AI review on pull request 48 and recommend which findings to fix or skip.