What problem does it solve? Executing a multi-task implementation plan in a single AI session pollutes context, loses progress after compaction, and ships unreviewed code. This Skill orchestrates plan execution by delegating each task to an isolated subagent, gating every task behind a spec-compliance and code-quality review, and tracking progress in a persistent ledger. ## Core Features & Use Cases - Fresh subagent per task: Dispatches implementer subagents with isolated context, task briefs extracted to files, and explicit model selection per task complexity. - Review-gated task loop: Every task gets a spec-compliance and code-quality review, with a bounded five-round fix loop, scoped re-reviews, and adjudication of residual findings. - Ledger-based recovery: A per-plan progress ledger and workspace under .superpowers/sdd/ survive context compaction so completed tasks are never re-dispatched. - Use Case: Given a written implementation plan with eight independent tasks, the Skill creates a worktree, dispatches implementers one task at a time, reviews each diff, runs a final whole-branch review, and finishes the development branch. ## Quick Start Ask the agent to execute your implementation plan using subagent-driven development, pointing it at the plan file path.
