What problem does it solve? Executing a multi-task implementation plan in a single AI session often leads to context pollution, skipped reviews, and inconsistent quality. This Skill coordinates plan execution by dispatching a fresh subagent for each task and enforcing spec compliance and code quality reviews after every task. ## Core Features & Use Cases - Fresh subagent per task: Each task runs in an isolated context with curated instructions, preventing cross-task confusion and preserving the controller's context. - 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 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: Given a written implementation plan with five independent tasks, execute all of them continuously in the current session, with each task implemented, tested, committed, and reviewed before moving on. ## Quick Start Use subagent-driven development to execute the implementation plan at docs/plans/feature-plan.md task by task with reviews after each task.
