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 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 - Subagent-per-task execution: 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 exactly, then a code quality reviewer checks maintainability, with fix-and-re-review loops until approval. - Status handling and escalation: Implementer subagents report DONE, DONE_WITH_CONCERNS, NEEDS_CONTEXT, or BLOCKED, and the controller responds with re-dispatch, model upgrades, task splitting, or human escalation. - Use Case: Given a written implementation plan with five independent tasks, use this Skill to execute each task via implementer subagents, run spec and quality reviews after each, and finish with a final whole-implementation code review. ## Quick Start Use the dx-swe-subagent-dev skill to execute the implementation plan at docs/plans/feature-plan.md task by task with subagent reviews.
