ralplan

Coordinates multi-agent consensus planning across Planner, Architect, and Critic roles.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/wmasfoe/notch-pet --skill ralplan-wmasfoe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralplan
Source: https://github.com/wmasfoe/notch-pet/tree/main/.codex/skills/ralplan
Command: npx skills add https://github.com/wmasfoe/notch-pet --skill ralplan-wmasfoe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate multi-agent consensus planning across Planner, Architect, and Critic to produce a validated plan.

Core Features & Use Cases

  • Iterative consensus planning: Planner → Architect → Critic loop to produce a robust plan.
  • Deliberate mode for high-risk work: pre-mortems and expanded test planning when needed.
  • Interactive prompts: guided prompts at key decision points to tailor the plan.

Quick Start

Describe the task to ralplan to start a consensus planning cycle.

Frequently Asked Questions about ralplan

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

FAQPage Schema
How does multi-agent consensus planning work for complex project workflows?

Multi-agent consensus planning coordinates a Planner, Architect, and Critic in an iterative loop to validate decisions. This mechanism produces a robust plan by applying thorough verification and risk-aware checks to tasks like software changes or process redesigns.

When should I use a deliberate planning mode for risk management?

Use deliberate planning mode for high-risk tasks that require thorough verification. It triggers pre-mortems and expanded test planning, ensuring your workflow anticipates potential failures and validates decisions before finalizing policy drafts or software changes.

How do I start a consensus planning workflow for a new software change?

Start a consensus planning workflow by describing your task to initiate the iterative loop. The Planner, Architect, and Critic agents will process your input, collect feedback through interactive prompts, and deliver a validated plan with concrete verification steps.

Can I use interactive prompts to tailor the planning cycle at key decision points?

Yes, interactive prompts guide you at key decision points to tailor the planning cycle. This feature allows you to provide specific input during the iterative loop, ensuring the final plan aligns with your risk-management and collaboration requirements.

What is included in the final output of a multi-agent planning workflow?

The final output of a multi-agent planning workflow is a validated plan. It includes concrete drivers, alternatives considered during the iterative loop, and specific verification steps to ensure your task meets risk-aware decision-making standards.

Does multi-agent consensus planning support process redesigns and policy drafts?

Yes, multi-agent consensus planning applies to process redesigns and policy drafts. The Planner, Architect, and Critic loop provides thorough verification and risk-aware decision-making for any complex task requiring a validated and robust plan.