What problem does it solve? AI agents and developers generating code at high speed often produce giant unreviewable commits, vague messages, and long-lived branches that diverge and conflict. This Skill enforces disciplined version control so every change stays reviewable, revertable, and traceable. ## Core Features & Use Cases - Atomic Commit Discipline: Enforces small, single-purpose commits with conventional message types (feat, fix, refactor, test, docs, chore) that explain the why behind each change. - Trunk-Based Branching Strategy: Guides short-lived feature branches merged within 1-3 days, with naming conventions like feature/task-creation and fix/duplicate-tasks. - Parallel Work with Git Worktrees: Shows how to run multiple agents on separate branches simultaneously using git worktree add, keeping experiments isolated. - Use Case: An AI agent implements a feature in slices, committing each tested increment with a descriptive message, so a broken change can be reverted instantly with git reset --hard HEAD without losing prior work. ## Quick Start Ask the agent to implement the next feature using atomic commits on a short-lived feature branch with conventional commit messages.