crew-plan

Draft, critique, and revise multi-pass implementation plans with explicit risks and verification.

8|1|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/JoeCP17/LLM-Dot-files --skill crew-plan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: crew-plan
Source: https://github.com/JoeCP17/LLM-Dot-files/tree/main/codex/skills/crew-plan
Command: npx skills add https://github.com/JoeCP17/LLM-Dot-files --skill crew-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about crew-plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a stress-tested implementation plan for risky software tasks?

A stress-tested implementation plan is generated by iteratively drafting, self-critiquing, and revising your task across multiple rounds to make assumptions, risks, and verification steps explicit. This multi-pass process reduces hidden gaps before execution begins.

What is multi-pass plan convergence and when do I need it for software builds?

Multi-pass plan convergence is a technique that refines an implementation roadmap through up to three iterative drafting and critique rounds. You need it for software builds or design-to-implementation scenarios requiring explicit risk management and safer execution.

How do I add explicit risk management and verification steps to a design-to-implementation roadmap?

You add risk management and verification steps by generating an implementation plan that mandates explicit assumptions, identified risks, and verification criteria for each decision. The plan is self-critiqued and revised until these safety checks are fully defined.

Can I use multi-agent critique to review my implementation plan?

Yes, you can use multi-agent critique by requesting a bounded skeptic or reviewer pass during planning. If subagents are available, this adds an automated debate layer to further stress-test your implementation plan before execution.

Does crew-plan save converged implementation plans for traceability?

Yes, crew-plan saves accepted implementation plans to `.codex/crew/seed-<timestamp>.md` and updates `.codex/crew/seed-latest.md`. This ensures your stress-tested roadmaps are stored as seeded artifacts for future reference and traceability.

What are the limitations of using automated multi-round planning for software execution?

Automated multi-round planning is limited by its dependency on available subagents for multi-agent critique delegation, and it requires iterative drafting time. It focuses on producing safer execution plans rather than executing the implementation itself.