What problem does it solve? Executing a multi-task implementation plan in one session often pollutes context, skips verification, and loses progress after compaction. This Skill orchestrates plan execution by delegating each task to an isolated subagent, enforcing per-task spec and quality reviews, and tracking progress in a persistent ledger. ## Core Features & Use Cases - Fresh subagent per task: Dispatch implementer subagents with task briefs extracted to files, keeping the controller context clean for coordination. - Two-stage review gates: Run a task-scoped review (spec compliance plus code quality) after each task and a broad whole-branch review at the end, with a bounded five-round fix loop and escalation to more capable models. - Crash-safe progress ledger: Record completions, fix rounds, and parked findings in a per-plan workspace so work resumes correctly after context compaction. - Use Case: Given a written implementation plan with eight independent tasks, execute all of them in one session: each task is implemented, tested, reviewed, and committed by subagents while you only handle escalations and the final branch review. ## Quick Start Ask the AI to execute your implementation plan using subagent-driven development, pointing it at the plan file path.
