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RobinNorberg
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omc-plan

Automates multi-step project planning with interview-driven requirements and consensus review.

5|Updated Mar 16, 2026
Search Tags:#workflow#planning#multi-agent#consensus#ai-assistant#project-management#requirements-gathering
One-click install
npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill omc-plan-robinnorberg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: omc-plan
Source: https://github.com/RobinNorberg/oh-my-copilot/tree/main/skills/plan
Command: npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill omc-plan-robinnorberg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Plan creates comprehensive, actionable work plans through intelligent interaction. It auto-detects whether to interview the user (broad requests) or plan directly (detailed requests), and supports consensus loop with Planner/Architect/Critic and RALPLAN-DR structured deliberation for robust outcomes.

Core Features & Use Cases

  • Interview mode: requirements elicitation for vague requests via one-question-at-a-time dialogue and live facts gathering.
  • Direct mode: immediate plan generation for detailed requests.
  • Consensus mode / Review mode: iterative multi-agent critique with Planner -> Architect -> Critic, optional interactive prompts, and risk- and quality-focused verification.
  • State and governance: explicit lifecycle management for consensus planning, with safe handoffs to execution and clear termination paths. Use cases include uncertain, broad ideas needing scoping, or evaluating and refining existing plans.

Quick Start

Provide a task description and let omc-plan generate a structured plan via its interview and consensus workflow.

Frequently Asked Questions about omc-plan

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

FAQPage Schema
How do I automate project planning for a vague product idea that needs scoping?▼

Automate project planning for vague ideas by using an interview-driven requirements gathering process that asks one question at a time. This elicitation mode gathers live facts to build structured requirements and verifiable acceptance criteria before generating a comprehensive work plan.

What is multi-agent consensus planning and how does it improve project requirements gathering?▼

Multi-agent consensus planning improves project requirements gathering by routing tasks through a Planner, Architect, and Critic loop. This rigorous deliberation mechanism ensures risk-aware decision making and quality-focused verification, resulting in robust, actionable work plans.

Can I generate a project management plan directly from a detailed request without an interview?▼

You can generate a project management plan directly from a detailed request without an interview. The system auto-detects detailed inputs and switches to direct mode, skipping requirements elicitation to provide immediate plan generation.

Does this multi-agent planning workflow support interactive reviews and state management?▼

The multi-agent planning workflow supports optional interactive reviews and explicit state management. It provides formalized lifecycle governance for consensus planning, ensuring safe handoffs to execution and clear termination paths for your artifacts.

Where are generated project plans and artifacts stored during the planning workflow?▼

Generated project plans and artifacts are stored under the .omcp/plans directory during the planning workflow. This formalized state management ensures safe handoffs and clear termination paths for your project artifacts.

What are the limitations of using AI-assisted consensus planning for project management?▼

AI-assisted consensus planning requires explicit lifecycle management and may involve iterative critique loops that demand user interaction. It is most applicable to vague product ideas needing structured scoping, rather than simple tasks requiring immediate execution.

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