What problem does it solve? Executing a multi-task implementation plan manually pollutes your context, skips quality checks, and stalls between tasks. This Skill orchestrates plan execution by dispatching a fresh subagent per task with enforced spec compliance and code quality reviews after each one. ## 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: Every task passes a spec compliance review first, then a code quality review, with fix-and-re-review loops until approved. - Status-Based Escalation Handling: 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: You have a written plan with 5 independent tasks. The Skill extracts all tasks, dispatches an implementer subagent for each, runs both reviewers, and finishes with a final whole-implementation code review before merging the development branch. ## Quick Start Ask the AI to execute the implementation plan at docs/plans/feature-plan.md using subagent-driven development with per-task spec and quality reviews.