rice-score

Score opportunities using the RICE framework aligned to quarterly OKRs.

Updated Aug 23, 2026

Search Tags:#prioritization #backlog management #opportunity scoring #feature evaluation #rice framework #okr alignment

Ready to run

npx skills add https://github.com/tgsatwit/agent-delivery-pub --skill rice-score

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rice-score
Source: https://github.com/tgsatwit/agent-delivery-pub/tree/main/.claude/skills/rice-score
Command: npx skills add https://github.com/tgsatwit/agent-delivery-pub --skill rice-score

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps in objectively scoring and prioritizing opportunities, initiatives, or ideas by aligning them with strategic quarterly OKRs using the RICE framework.

Core Features & Use Cases

RICE Scoring: Calculates a RICE score (Reach x Impact x Confidence / Effort).
OKR Alignment: Assesses how well an opportunity aligns with defined quarterly OKRs.
Prioritization: Aids in making data-driven decisions for backlog items and feature requests.
Use Case: When faced with multiple feature requests, use this Skill to score each one based on its potential reach, impact, confidence in success, and the effort required, ensuring alignment with company goals.

Quick Start

Use the rice-score skill to evaluate the 'New User Onboarding Flow' feature.

Frequently Asked Questions about rice-score

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

FAQPage Schema

How do I prioritize backlog items using the RICE framework?▼

Prioritize backlog items by scoring each opportunity using the RICE formula: Reach multiplied by Impact multiplied by Confidence, divided by Effort. This generates a quantitative score to objectively rank competing feature requests and initiatives.

How does RICE scoring align feature requests with quarterly OKRs?▼

RICE scoring aligns feature requests with quarterly OKRs by evaluating each opportunity's strategic fit against your defined objectives. This ensures that high-scoring backlog items directly support your company goals and operating philosophy.

What information do I need to calculate RICE scores for feature evaluation?▼

To calculate RICE scores for feature evaluation, you need contextual information on your quarterly OKRs, operating philosophy, and an existing opportunity register. This data ensures a comprehensive assessment of reach, impact, confidence, and effort.

When should I use opportunity scoring for backlog management?▼

Use opportunity scoring for backlog management when you are faced with multiple competing feature requests and need to make data-driven prioritization decisions. It provides an objective comparison rather than relying on subjective opinions.

Can I compare competing initiatives without an existing opportunity register?▼

Comparing competing initiatives without an existing opportunity register is not recommended. The RICE framework requires an opportunity register alongside your quarterly OKRs and operating philosophy to deliver a comprehensive and accurate assessment.

What is the best way to evaluate a new feature request against an existing backlog?▼

The best way to evaluate a new feature request is to score it against your existing backlog items using the RICE framework. This calculates its relative value based on reach, impact, confidence, and effort aligned with your quarterly OKRs.