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ln-230-story-prioritizer

Compute RICE scores for user stories and output a markdown prioritization table.

Updated Mar 14, 2026
Search Tags:#workflow#story#prioritization#rice#competition#epic#market-research
One-click install
npx skills add https://github.com/0xtaoist/taogate --skill ln-230-story-prioritizer-0xtaoist
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ln-230-story-prioritizer
Source: https://github.com/0xtaoist/taogate/tree/main/ln-230-story-prioritizer
Command: npx skills add https://github.com/0xtaoist/taogate --skill ln-230-story-prioritizer-0xtaoist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prioritize Stories within an Epic by combining business-market research with RICE scoring, producing a single consolidated prioritization table to guide planning.

Core Features & Use Cases

  • Prioritize Stories after ln-220 by computing RICE scores for each Story with lightweight metadata and market research.
  • Generate a consolidated prioritization table at docs/market/[epic-slug]/prioritization.md.
  • Attach sources and competition context to support stakeholder reviews.

Quick Start

Invoke the ln-230-story-prioritizer with an epic identifier to generate the prioritization report.

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 user stories within an epic using RICE scoring?▼

Yes, you can compute RICE scores for stories by performing market research and retrieving concise descriptions. The output is a consolidated markdown prioritization table with sources and competition context.

What is the best way to include competition context in story prioritization?▼

Including competition context in story prioritization involves attaching market research sources to the RICE scoring output. This generates a consolidated markdown table supporting stakeholder reviews.

How do I generate a markdown prioritization table for epics?▼

Generate a markdown prioritization table by invoking the prioritizer with an epic identifier. It identifies all associated user stories, computes RICE scores, and outputs the table to docs/market/[epic-slug]/prioritization.md.

Do I need to define epics before computing RICE scores for user stories?▼

Yes, you need an existing epic identifier to compute RICE scores for user stories. The process identifies the epic and all associated stories to perform market research and calculate prioritization.

Can I automate RICE prioritization for multiple stories in a single workflow?▼

Automating RICE prioritization for multiple stories involves invoking the tool with an epic identifier. It processes all associated stories, performs market research, and outputs a single consolidated prioritization table.

Why does story prioritization require market research for accurate RICE scores?▼

Story prioritization requires market research for accurate RICE scores because it provides the competition context and business data needed to evaluate reach, impact, confidence, and effort.

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