ice-scorer

Score growth experiments using the ICE framework and update experiment JSON.

1|Updated Nov 25, 2025
One-click install
npx skills add https://github.com/StreamPilotOrg/growth-machine --skill ice-scorer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ice-scorer
Source: https://github.com/StreamPilotOrg/growth-machine/tree/main/.claude/skills/ice-scorer
Command: npx skills add https://github.com/StreamPilotOrg/growth-machine --skill ice-scorer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly evaluate and rank growth experiments using the ICE framework, removing guesswork and aligning prioritization with business impact.

Core Features & Use Cases

  • Automated ICE scoring: Assess Impact, Confidence, and Ease (1-10) and compute a total score.
  • Prioritize backlog: Rank experiments to focus on high-value opportunities.
  • Consistent rationale: Provide clear reasoning to justify scores.

Quick Start

When you create a new experiment or ask to prioritize, invoke the ICE Scorer to generate a preliminary score or to re-score backlog experiments. Provide the hypotheses and any available data; the skill will return an ICE score and a recommended priority.

Frequently Asked Questions about ice-scorer

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

FAQPage Schema
How do I prioritize experiments using the ICE framework?

The ICE framework prioritizes experiments by scoring Impact, Confidence, and Ease on 1-10 scales, then multiplying them for a total score. Higher scores indicate experiments worth running first, removing guesswork from prioritization decisions.

What does ICE scoring measure and how is the total calculated?

ICE scoring measures Impact (business value), Confidence (likelihood of success), and Ease (implementation difficulty) on 1-10 scales. The total is their product; scores of 300 or higher are recommended for execution.

When should I use ICE scoring to evaluate my experiment backlog?

Use ICE scoring when creating new experiments, comparing multiple candidates, deciding which experiment to run first, or analyzing a backlog to identify high-value opportunities and align prioritization with business impact.

Can I rescore experiments that already have ICE scores?

Yes, you can rescore experiments at any time to reflect new data, changing conditions, or refined estimates. The updated scores help you re-rank your backlog and adjust execution order.

What happens after an experiment reaches the ICE score threshold?

When an experiment's ICE total meets or exceeds 300, it is routed to the pipeline for execution, ensuring high-impact opportunities move forward consistently.

What information do I need to provide for accurate ICE scores?

Provide the experiment hypothesis and any available supporting data. The Skill then assesses Impact, Confidence, and Ease, delivering a justified score and priority recommendation.