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prioritize

Score and rank feature backlogs using RICE, ICE, or custom prioritization frameworks.

1|Updated Mar 21, 2026
Search Tags:#product management#prioritization#backlog#roadmap planning#ice score#rice framework#feature scoring
One-click install
npx skills add https://github.com/kalilurrahman/kr-claudiator-skills-original-prompts --skill prioritize-kalilurrahman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prioritize
Source: https://github.com/kalilurrahman/kr-claudiator-skills-original-prompts/tree/main/09-product-management/prioritize
Command: npx skills add https://github.com/kalilurrahman/kr-claudiator-skills-original-prompts --skill prioritize-kalilurrahman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Product teams often face messy backlogs where every feature feels urgent and decisions rely on gut feelings. This Skill applies structured scoring frameworks to produce a ranked, defensible priority list with explicit trade-offs and a recommended cut line. ## Core Features & Use Cases - Framework-Based Scoring: Score features using RICE (Reach, Impact, Confidence, Effort), ICE, or a custom framework with consistent criteria. - Ranked Output with Cut Line: Generate a ranked table sorted by score, plus Do Now / Do Next / Do Later recommendations based on available capacity. - Rationale and Caveats: Explain the top 3 and bottom 3 rankings, flag low-confidence scores, near-ties, and dependency relationships. - Use Case: Paste a list of 12 candidate features for next quarter, and receive a RICE-scored ranking table showing which 4 fit within your team's 6 person-month capacity, with justification for each placement. ## Quick Start Prioritize this list of features using the RICE framework and tell me which ones to build this quarter given a capacity of 8 person-months.

Frequently Asked Questions about prioritize

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

FAQPage Schema
How do I prioritize a product feature backlog with RICE?▼

Provide your feature list and the Skill scores each item on Reach, Impact, Confidence, and Effort, then computes (Reach x Impact x Confidence) / Effort. Features are ranked descending by score with a cut line based on your stated capacity.

What is the difference between RICE and ICE prioritization?▼

RICE uses Reach, Impact, Confidence, and Effort, making it suited for data-informed quarterly planning. ICE uses Impact, Confidence, and Ease, which is faster but less rigorous. The Skill defaults to RICE and supports ICE or custom frameworks on request.

Can I prioritize features from a file instead of typing a list?▼

Yes, the Skill accepts either an inline list of features or a path to a file containing them. It parses the input, extracts feature names and context, then applies the scoring framework consistently across all items.

What happens when two features have nearly identical scores?▼

When two features score within 10% of each other, the Skill explicitly flags that the ranking between them is noise rather than signal. This prevents over-interpreting small numerical differences as meaningful priority gaps.

When should I not use a scoring framework for prioritization?▼

For lists with fewer than three items, the Skill recommends deciding directly since framework overhead outweighs the benefit. Scores also miss strategic bets, political factors, and dependencies, which are flagged in the caveats section.

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