plan

Coordinate AI-driven product planning across 18 steps from MVP definition to prototype.

21|1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/unicorn-plugins/npd --skill plan-unicorn-plugins
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan
Source: https://github.com/unicorn-plugins/npd/tree/main/skills/plan
Command: npx skills add https://github.com/unicorn-plugins/npd --skill plan-unicorn-plugins

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This plan coordinates multi-agent AI collaboration to define, validate, and document a complete product plan from MVP to prototype, reducing cycle time and misalignment.

Core Features & Use Cases

  • End-to-end 18-step workflow coordinating multiple AI agents (PO, SP, DE, Architect, AI Engineer) to generate structured artifacts.
  • Automated generation of essential plan documents (MVP 정의, 고객분석, 시장조사, 고객경험 단계, 여정 맵, 문제 가설, 비즈니스 가치, Needs Statements 등).
  • Progress tracking and context propagation across steps, with configurable activation and approvals.

Quick Start

Start by creating a new project and enabling plan: invoke /npd:create for the project setup, then /npd:plan to begin the workflow.

Frequently Asked Questions about plan

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

FAQPage Schema
How does multi-agent AI collaboration work for product planning?

Multi-agent AI collaboration for product planning works by assigning predefined roles like PO, architect, and AI engineer to autonomously generate structured artifacts and delivery milestones across an 18-step workflow.

How do I generate MVP definition and customer journey maps using AI?

You can generate MVP definitions and customer journey maps by invoking the project setup command, then triggering the planning workflow to automatically produce structured artifacts including market research and needs statements.

Can I use AI workflow orchestration to coordinate cross-functional product teams?

Yes, AI workflow orchestration coordinates cross-functional product teams by propagating context across steps, enforcing task assignments, and tracking progress through configurable approvals from MVP definition to prototype.

What is the best way to automate end-to-end product roadmap generation with AI?

The best way to automate end-to-end product roadmap generation is using a multi-agent workflow that validates problem hypotheses, documents business value, and tracks delivery milestones through predefined roles and prompts.

What documents are automatically generated during AI-driven product planning?

AI-driven product planning automatically generates essential documents including MVP definitions, customer analysis, market research, customer experience stages, journey maps, problem hypotheses, business value, and needs statements.

Do I need to configure approvals for each step of the AI product planning workflow?

The AI product planning workflow supports configurable activation and approvals across its 18 steps, allowing you to control progress tracking and context propagation based on your team's specific validation requirements.