What problem does it solve? It prevents messy commit histories, unverified code submissions, accidental commits of secrets or build artifacts, and lost records of human corrections when AI and humans collaborate on the same repository. ## Core Features & Use Cases - Commit Protocol: Enforces Conventional Commits with stage or Issue references, structured bodies (What changed / Why / Human Corrections / Verification), and type selection rules for feat, fix, refactor, test, docs, perf, style, and chore. - Pre-Commit Verification Workflow: Defines an ordered checklist covering git status, scoped diffs, staged diff review, risk-based validation commands, and post-commit cleanliness checks. - Human-AI Collaboration Rules: Requires recording human corrections in commit bodies, re-verifying after manual edits, and forbids overwriting unknown working-tree changes with reset or restore. - Use Case: After an AI implements a shell execution tool and a human adjusts the timeout, the Skill produces a commit like "feat: V1-03 implement shell command execution tool" with a body documenting the AI changes, the human correction, and the actual test command results. ## Quick Start Review the current working tree changes and create a properly formatted commit following the git commit protocol.