What problem does it solve?
It helps you turn an unclear or risky request into a safer, stepwise implementation plan by drafting, self-critiquing, and revising until key assumptions, verification, and next steps are explicit.
Core Features & Use Cases
- Multi-round plan convergence: Generates and iteratively refines a plan across up to 3 rounds to reduce hidden gaps.
- Risk-aware planning: Includes explicit risks plus how to verify each decision before implementation.
- Optional multi-agent critique delegation: Can add a bounded skeptic/reviewer pass when multi-agent debate is requested and subagents are available.
- Seeded plan artifacts: Saves the accepted plan to
.codex/crew/seed-<timestamp>.md and updates .codex/crew/seed-latest.md for traceability.
Quick Start
Ask an AI assistant for a stress-tested implementation plan using /crew-plan for your specific task, and optionally add -r 2 if you want fewer rounds.