What problem does it solve? Executing a multi-task implementation plan in one session pollutes context and skips quality gates; this Skill orchestrates fresh subagents per task with mandatory reviews so each task is implemented, tested, and verified without context contamination. ## Core Features & Use Cases - Per-task subagent dispatch: Each plan task gets a fresh implementer subagent with only its task bead, relevant interfaces, and global constraints, keeping the controller's context clean for coordination. - Layered review gates: Every task passes a spec-compliance and code-quality review, a bounded five-round fix loop with scoped re-reviews, and a final whole-branch review before completion. - Ledger-based recovery: A per-plan workspace ledger tracks task completions, commits, and fix rounds so work resumes correctly after context compaction. - Use Case: Given an approved implementation plan with several mostly independent tasks, run this Skill to implement each task via subagents, review each diff, and finish with a whole-branch review before merging. ## Quick Start Ask the AI to execute the approved implementation plan using subagent-driven development, dispatching an implementer subagent for each task and reviewing each one before the final whole-branch review.