What problem does it solve? Executing a multi-task implementation plan in a single AI session leads to context pollution, skipped reviews, and lost progress after compaction. This Skill orchestrates plan execution by delegating each task to an isolated subagent with curated context, enforcing spec-compliance and code-quality review gates after every task. ## Core Features & Use Cases - Per-task subagent dispatch: Each plan task gets a fresh implementer subagent with a file-based task brief, keeping the controller's context clean and focused on coordination. - Two-verdict review gates: A task reviewer subagent checks both spec compliance and code quality against the diff, with fix-and-re-review loops for Critical and Important findings. - Durable progress tracking: A ledger file and helper scripts (task-brief, review-package) survive context compaction so completed tasks are never re-dispatched. - Use Case: You have a written implementation plan with 8 mostly independent tasks. This Skill executes them end-to-end in the current session — implementing, testing, reviewing, and committing each task — then runs a final whole-branch review before finishing the development branch. ## 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.