What problem does it solve? Large features implemented in one pass produce bugs that are hard to locate, broken builds between steps, and commits that are painful to review or roll back. This Skill enforces a disciplined increment cycle so every change lands in a working, tested state. ## Core Features & Use Cases - Increment Cycle: Implement, test, verify, commit, then move to the next slice so the codebase never sits in a broken state. - Slicing Strategies: Choose vertical slices, contract-first slicing for parallel backend/frontend work, or risk-first slicing to prove uncertain pieces early. - Scope and Simplicity Rules: Enforces one logical change per commit, feature flags for incomplete work, safe defaults, and rollback-friendly changes. - Use Case: When adding a full CRUD feature across database, API, and UI, deliver it as four tested slices (create, list, edit, delete) instead of one large unverified change. ## Quick Start Ask the AI to implement the next task from your plan incrementally, starting with only the database schema and API endpoint, running tests and build before committing each slice.