pm-prototype

Convert product concepts into validated prototype specifications for tools like Lovable and v0.

1|Updated May 28, 2026
One-click install
npx skills add https://github.com/ljucask/pureinn-product-development --skill pm-prototype
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-prototype
Source: https://github.com/ljucask/pureinn-product-development/tree/main/skills/pm-prototype
Command: npx skills add https://github.com/ljucask/pureinn-product-development --skill pm-prototype

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product teams reduce uncertainty before development by turning scoped product ideas, features, and hypotheses into prototype-ready specifications instead of prematurely building production solutions.

Core Features & Use Cases

  • Prototype Specification Generation: Converts product inputs such as feature cards, flows, acceptance criteria, personas, and notes into structured prototype specs for tools like Lovable, v0, Figma Make, and Base44.
  • Validation Workflow Management: Gates prototype creation through intent checks, success criteria definition, result capture, and feedback loops into feature and hypothesis artifacts.
  • Use Case: A product manager can use this Skill to validate a new checkout experience by creating a tool-ready prototype brief, testing the concept, and recording whether the hypothesis was confirmed before committing engineering resources.

Quick Start

Ask the pm-prototype skill to create a prototype specification for a feature you want to validate before building.

Frequently Asked Questions about pm-prototype

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

FAQPage Schema
How do I validate a product feature idea before committing engineering resources?

To validate a product feature idea before development, you can convert scoped concepts and hypotheses into prototype-ready specifications. This process applies structured input ingestion and success criteria definition to test UX flows and technical feasibility without prematurely building production solutions.

Can I generate prototype specifications for tools like Lovable and v0 from feature cards?

Yes, you can generate tool-specific prototype specifications for platforms like Lovable, v0, Figma Make, and Base44. The system compiles structured prompts from product inputs such as feature cards, acceptance criteria, personas, and notes to create tool-ready prototype briefs.

What is the best way to structure UX flow testing for product discovery?

The best way to structure UX flow testing for product discovery is to gate prototype creation through intent checks and success criteria definition. This validation workflow captures prototype results and feeds them back into feature and hypothesis artifacts to confirm concepts.

Does this product validation workflow support stakeholder alignment scenarios?

Yes, this product validation workflow supports stakeholder alignment scenarios across the product lifecycle. By turning uncertain product concepts into validated prototype specifications, teams can visually and technically confirm feasibility and design directions with stakeholders before implementation begins.

How do I manage the feedback loop after testing a prototype specification?

To manage the feedback loop after testing a prototype specification, you record whether the original hypothesis was confirmed through result capture. This feedback is then systematically integrated back into your feature and hypothesis artifacts to inform subsequent development decisions.

When should I not use prototyping for feature validation?

You should not use prototyping for feature validation when product inputs lack structured scope controls or defined success criteria. Without scoped feature cards, flows, or acceptance criteria to ingest, the system cannot compile tool-specific prompts or effectively gate the validation workflow.