happy-path-scope

Scope prototypes to a minimum viable set with cut lists and output specs.

70|34|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill happy-path-scope-productfculty-aipm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: happy-path-scope
Source: https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/happy-path-scope
Command: npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill happy-path-scope-productfculty-aipm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prototypes often suffer from over-scoping, leading to delayed feedback and wasted effort. This skill helps teams scope prototypes to the minimum viable set, enabling faster validation and clearer outcomes.

Core Features & Use Cases

  • Stepwise scoping guidance aligned to the prototyping purpose (validation, stakeholder demos, or engineering handoff).
  • Clear cut lists and minimum screen counts to keep the prototype focused.
  • Mock data planning and a defined output specification to prevent scope creep.

Quick Start

Help me scope a feature prototype to the minimum viable set.

Frequently Asked Questions about happy-path-scope

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

FAQPage Schema
How do I scope a prototype to the minimum viable set?

Scope prototypes by applying a stepwise process that generates cut lists, sets minimum screen counts, and plans mock data. This prevents over-scoping and ensures your prototype remains focused on rapid validation and clear outcomes.

Why does prototype over-scoping delay feedback?

Prototype over-scoping delays feedback by spreading effort across unnecessary features and screens. Scoping to the minimum viable set focuses validation, enabling faster feedback loops and preventing wasted effort on out-of-scope functionality.

What is the best way to plan mock data for an MVP prototype?

The best way to plan mock data for an MVP prototype is to define it alongside a clear output specification. This combination prevents scope creep during stepwise prototyping and keeps the validation focused on core features.

How do I cut features for a stakeholder demo without losing validation?

Cut features for a stakeholder demo by using a defined cut list to reduce screen counts while preserving the validation purpose. This stepwise approach maintains the core prototyping goals and prevents over-scoping.

Can I use this scoping process for engineering handoff specs?

Yes, you can use this scoping process for engineering handoff specs. It defines a clear output specification with mock data planning and cut lists, ensuring engineering teams receive focused requirements without scope creep.