Implement failing PRD stories with required simplification, review, verification, and progress tracking.
Implement one failing PRD user story, run checks, update progress, and commit.
Review a pull request, branch, recent commits, staged or unstaged changes, or AI-generated code for correctness, readability, architecture, security, performance, standards, spec adherence, and maintainability. Use when reviewing a PR before merge, reviewing changes since a fixed point, reviewing work-in-progress changes, reviewing another agent's code, asking to "review since X", requesting a thermo-nuclear / thermonuclear / deep code quality / especially harsh maintainability review, or when machine-readable output is needed.
Implement PRD stories until all pass, with verification and progress tracking.
Create a Product Requirements Document (PRD) for a feature. Use for requests like create a PRD, write a PRD, plan this feature, requirements for, spec out.
Run the pre-launch checklist via parallel fan-out to specialist personas, then synthesize a go/no-go decision
Chooses the least powerful subagent model that can reliably finish delegated work. Use whenever you are about to launch, spawn, delegate to, or set `model:` for a subagent, task agent, background agent, or parallel worker. Use this before any task-tool launch that needs model selection, especially for exploration, test execution, grading, code review, debugging, or implementation research where a fast cheap model often suffices.
Coordinate the current implementation wave. Use when the plan already has the next ready task or small ready set and you need a manager-led workflow that dispatches implementers with lean handoffs, keeps active trackers in sync, then runs code-simplifier and code-reviewer waves over the full uncommitted surface before handing the work back uncommitted.