What problem does it solve? Executing a multi-task implementation plan in a single session often pollutes context, skips reviews, and lets errors compound. This Skill orchestrates plan execution by dispatching a fresh subagent for each task and enforcing a two-stage review (spec compliance, then code quality) after every task. ## Core Features & Use Cases - Fresh Subagent Per Task: Each task runs in an isolated subagent context with curated instructions, preventing context pollution and keeping the controller focused on coordination. - Two-Stage Review Gates: A spec compliance reviewer verifies the code matches requirements before a code quality reviewer assesses maintainability, with fix-and-re-review loops until approval. - Status-Based Escalation: Implementer subagents report DONE, DONE_WITH_CONCERNS, NEEDS_CONTEXT, or BLOCKED, and the controller responds with more context, a more capable model, or task decomposition. - Use Case: Given a written implementation plan with five independent tasks, the controller extracts all tasks into a todo list, dispatches implementer and reviewer subagents sequentially, and finishes with a final whole-implementation code review before merging the branch. ## Quick Start Ask the AI to execute your implementation plan using subagent-driven development with a fresh implementer subagent and spec plus quality reviews for each task.