pm-features-list

Generate FDD feature hierarchies with KANO analysis and Value vs. Complexity scoring.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of turning product scope and business capabilities into a structured, prioritized feature inventory that teams can use to plan MVP delivery.

Core Features & Use Cases

  • FDD Feature Planning: Generates a Domain > Feature Set > Feature hierarchy with action-based feature naming, IDs, actors, dependencies, and delivery metadata.
  • Prioritization Analysis: Applies Dependency Mapping, KANO Analysis, and Value vs. Complexity scoring to create a rational feature delivery order.
  • Backlog Preparation: Creates Feature Card stubs and prepares approved feature inventories for MVP scoping, roadmap planning, and backlog systems.

Quick Start

Ask the AI to create a prioritized FDD feature list from my PRD business capabilities, including dependencies and MVP recommendations.

Frequently Asked Questions about pm-features-list

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

FAQPage Schema
How do I build a prioritized feature backlog for MVP delivery from business capabilities?

Feature Driven Development decomposition structures your product scope into a Domain > Feature Set > Feature hierarchy. It generates action-based feature naming with IDs, actors, and delivery metadata to solve unorganized scope definition challenges during product discovery.

How do I map feature dependencies to plan a product roadmap?

KANO analysis classifies features into categories like basic, performance, and excitement attributes. Combined with Value vs. Complexity scoring, it rationalizes backlog prioritization by identifying which features drive MVP satisfaction and delivery order.

Can I use FDD decomposition for unorganized product scope definition?

Feature Card creation prepares approved feature inventories for MVP scoping by generating structured stubs with delivery metadata. These stubs feed directly into backlog systems and roadmap planning for implementation tracking.

What is the best way to prioritize a feature inventory using Value vs. Complexity analysis?

The best way to prioritize a feature inventory is applying Value vs. Complexity scoring alongside Dependency Mapping and KANO classification. This generates a rational feature delivery order for MVP planning and backlog systems.