pm-scope-cut

Classifies backlog items into Must, Should, and Not now for MVP scope.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/chenluhan/skill --skill pm-scope-cut
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-scope-cut
Source: https://github.com/chenluhan/skill/tree/main/.agents/skills/pm-scope-cut
Command: npx skills add https://github.com/chenluhan/skill --skill pm-scope-cut

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cut broad feature requests into an actionable MVP scope by organizing items into Must, Should, and Not now.

Core Features & Use Cases

  • Scope framing: Identify core user jobs and prune scope to essential items.
  • Prioritization guidance: Produce Must/Should/Not now lists with reasons for each item.
  • Use Case: When a large feature request arises, generate a lean MVP scope for the next development cycle.

Quick Start

Provide a backlog of candidate items and constraints so the tool categorizes items into Must, Should, and Not now.

Frequently Asked Questions about pm-scope-cut

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

FAQPage Schema
How do I prioritize backlog items into MVP scope?

To prioritize backlog items into MVP scope, classify candidate features into Must, Should, and Not now categories based on core user jobs and delivery constraints. This method enforces problem framing to yield a defensible, actionable scope for a development cycle.

What is the best way to cut broad feature requests for a development cycle?

Cutting broad feature requests involves enumerating candidate items and applying practical delivery constraints to organize them into Must, Should, and Not now lists. This pruning process ensures the resulting MVP scope remains lean and actionable.

How does the Must Should Not now framework work for product discovery?

The Must Should Not now framework works by framing core user problems and categorizing candidate backlog items against delivery constraints. It produces a prioritized set of lists with explicit reasons for each item, making the MVP scope defensible during scoping conversations.

Can I use this scope cutting method during backlog grooming?

Yes, you can use scope cutting during backlog grooming to evaluate candidate items against practical delivery constraints. Providing a backlog of candidate items allows the method to classify features into Must, Should, and Not now lists for the next cycle.

What do I need to provide to generate a lean MVP scope?

To generate a lean MVP scope, you need to provide a backlog of candidate items and your delivery constraints. This input allows the scope framing process to identify core user jobs and categorize items into Must, Should, and Not now lists.

When should I avoid using MoSCoW prioritization for backlog scoping?

You should avoid using Must, Should, Not now prioritization when you cannot define core user jobs or practical delivery constraints. The method relies on enumerating candidate items and framing the core problem to yield a defensible MVP scope.