ln-230-story-prioritizer

Name: ln-230-story-prioritizer
Availability: InStock
Author: dorrio

Prioritize product stories with RICE scores and market research data.

Updated Dec 11, 2025

Search Tags:#prioritization #product development #market research #backlog grooming #story management #rice framework

Ready to run

npx skills add https://github.com/dorrio/sorteo-app-generator --skill ln-230-story-prioritizer-dorrio

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ln-230-story-prioritizer
Source: https://github.com/dorrio/sorteo-app-generator/tree/main/.agent/skills/ln-230-story-prioritizer
Command: npx skills add https://github.com/dorrio/sorteo-app-generator --skill ln-230-story-prioritizer-dorrio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the product development process by objectively prioritizing user stories based on the RICE framework, incorporating crucial market research insights.

Core Features & Use Cases

RICE Prioritization: Calculates a RICE score for each story (Reach, Impact, Confidence, Effort).
Market Research Integration: Leverages market data to inform the 'Reach' and 'Impact' scores.
Consolidated Reporting: Generates a clear, actionable prioritization table in a specified Markdown file.
Use Case: A product manager can use this skill to prioritize a backlog of new features by providing market data and story details, resulting in a ranked list that guides development focus.

Quick Start

Use the ln-230-story-prioritizer skill to prioritize the stories in the current project backlog.

Frequently Asked Questions about ln-230-story-prioritizer

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

FAQPage Schema

How do I prioritize product stories using the RICE framework with market data?▼

To prioritize product stories using the RICE framework, the Skill analyzes story scope, market reach, impact, confidence, and effort. It integrates external market research to inform scoring and outputs a consolidated prioritization table.

What is the best way to integrate market research into backlog grooming?▼

Integrating market research into backlog grooming is achieved by leveraging market data to inform the Reach and Impact scores within the RICE calculation. This ensures story prioritization aligns with strategic market intelligence.

How do I generate a RICE prioritization table for my product backlog?▼

Generating a RICE prioritization table involves processing story details and market insights to calculate scores. The Skill automatically creates a consolidated prioritization markdown file in the docs/market directory for strategic decision-making.

Can I use RICE scoring for backlog grooming without manual market data analysis?▼

RICE scoring for backlog grooming requires market data inputs to inform the Reach and Impact assessment. The Skill streamlines this by integrating external market intelligence directly into the scoring process rather than relying on manual analysis.

Does RICE prioritization work for evaluating story scope and estimated effort?▼

RICE prioritization works for evaluating story scope by assessing estimated effort alongside reach, impact, and confidence. This structured approach balances potential market value against development complexity to guide product focus.