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.