What problem does it solve? Large or messy pull requests are hard to review and merge safely. This Skill coordinates a structured cleanup workflow that audits placement and naming, narrows the delivery boundary, and runs simplify and code-review passes before promotion. ## Core Features & Use Cases - Parallel preflight audits: Runs shared-extraction and capability-naming audits in isolated worktrees, combining findings into a single change map. - Focused delivery sizing: Selects one coherent pull request or an ordered replacement stack using the pr-small-cl boundary decision. - Gated promotion: Promotes parent and child pull requests only after exact commit ancestry checks, test validation, and simplify/review loops pass. - Use Case: Given a draft GitHub PR that mixes refactors and features, run the cleanup to audit reusable code placement, rename capability surfaces, split the PR if needed, and promote it to Ready with recorded SHAs and evidence. ## Quick Start Ask the AI to run PR cleanup on a specific GitHub pull request number, URL, or branch.