What problem does it solve? When an AI agent implements a multi-step plan, it often drifts: starting steps without permission, marking work done without human review, or losing track of what changed. This Skill enforces a disciplined execution workflow where every plan step moves through explicit statuses (TODO, WIP, IN_REVIEW, DONE) and only the human can close a step. ## Core Features & Use Cases - Status state machine: Each step transitions TODO → WIP → IN_REVIEW → DONE via explicit commands like /next, /done, and /done-next, so the agent never auto-continues. - Step-per-commit discipline: Every completed step ends with a commit whose message comes from the step's commit field, keeping code and spec/ documentation in sync. - Human-in-the-loop review: The agent stops at IN_REVIEW and waits for feedback, treating interjections like "ok" as feedback rather than commands. - Use Case: You have a topic file with an IMPLEMENTATION PLAN of five steps. You type /next, the agent executes step 1, updates its status to IN_REVIEW, commits the code plus spec changes, and waits for your /done before touching step 2. ## Quick Start Enter EXECUTE mode and type /next to have the agent start the first TODO step of your implementation plan.