What problem does it solve? After creating a pull request, developers must manually monitor review feedback, respond to comments, resolve threads, verify CI status, and merge. This Skill automates that entire post-PR lifecycle so reviews are handled and merges complete without user intervention. ## Core Features & Use Cases - Layer 1 Self-Review: Launches a project-level code-review skill on every PR, records findings as inline comments, and verifies review completion mechanically before merging. - Automated Feedback Handling: Classifies review findings, commits fixes or documents skip reasons, replies to threads, and resolves them via GitHub MCP or GraphQL. - Status Detection & Session Recovery: Uses check_pending_pr_reviews.py to detect pending PRs (awaiting_review, needs_prompt, needs_response, needs_resolve_check) and resume ownership after session restarts. - Gated Auto-Merge & Deploy: Verifies CI check runs, evidence freshness, and unresolved threads before squash-merging, then routes production deploys through Workers Builds with sprint review gates. - Use Case: After opening a PR, the Skill self-reviews the diff, fixes or answers all findings, waits for green CI, merges automatically, and records a silent summary on the PR thread. ## Quick Start Ask the AI to monitor the pull request you just created, handle all review feedback, and see it through to merge.