prioritize

Score and rank product features using RICE, ICE, or Impact/Effort frameworks.

42|5|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/kazdenc/builder-skills --skill prioritize-kazdenc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prioritize
Source: https://github.com/kazdenc/builder-skills/tree/main/.claude/skills/product/prioritize/prioritize
Command: npx skills add https://github.com/kazdenc/builder-skills --skill prioritize-kazdenc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams make informed decisions about what to build next by objectively scoring and ranking features or initiatives.

Core Features & Use Cases

  • Framework Application: Supports RICE, Opportunity Scoring, Impact/Effort Matrix, and ICE scoring.
  • Data-Informed Decisions: Moves beyond gut feelings to prioritize based on quantifiable metrics.
  • Use Case: A product manager has a backlog of 15 feature ideas and needs to decide which ones to tackle in the next two quarters. This Skill can apply the RICE framework to objectively rank them.

Quick Start

Use the prioritize skill to rank the following features using the RICE framework: Add dark mode, Improve search relevance, Implement SSO.

Frequently Asked Questions about prioritize

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

FAQPage Schema
How do I rank product features using the RICE scoring framework?

You can rank features using RICE scoring by providing a backlog of item details. The Skill calculates Reach, Impact, Confidence, and Effort to output a quantifiable ranked list of high-value items for data-informed decisions.

What frameworks can I use for data-driven product prioritization?

Available frameworks for data-driven product prioritization include RICE, Opportunity Scoring, Impact/Effort Matrix, and ICE scoring. These frameworks move decisions beyond gut feelings by objectively scoring feature initiatives.

How do I decide what to build next when backlog grooming a large list of feature ideas?

To decide what to build next during backlog grooming, apply a framework like ICE or Opportunity Scoring to your feature list. This yields a clear, ranked list of high-value items to tackle in upcoming quarters.

Does the feature ranking process require predefined scoring dimensions?

The feature ranking process does not strictly require predefined scoring dimensions. You must provide item details, but specifying custom scoring dimensions or framework preferences is an optional input.

What is the best way to objectively score product roadmap initiatives?

The best way to objectively score product roadmap initiatives is applying established prioritization frameworks like RICE or Impact/Effort. This quantifies feature value to facilitate data-informed build decisions.