glean

Guide feature request refinement through structured gleaning questions.

2|1|Updated May 2, 2026
One-click install
npx skills add https://github.com/iroha924/mumei --skill glean-iroha924
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: glean
Source: https://github.com/iroha924/mumei/tree/main/skills/glean
Command: npx skills add https://github.com/iroha924/mumei --skill glean-iroha924

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps clarify and structure feature requests before design, ensuring a comprehensive understanding of the desired outcome.

Core Features & Use Cases

  • Structured Gleaning: Guides users through a series of high-leverage questions to extract goals, scope, constraints, and edge cases.
  • Pre-spec Gleaning: Used as a pre-requisite for feature design, aiding in the creation of clear and actionable specifications.
  • Output to .mumei/scratch/<topic>.md: Saves the gleaning output for later use by the /mumei:compose skill.

Quick Start

Run the /mumei:glean skill to begin the structured gleaning process for your feature request.

Frequently Asked Questions about glean

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

FAQPage Schema
How do I clarify software feature requests before starting design?

To clarify software feature requests before design, you can use a structured gleaning process that asks predefined questions to extract goals, scope, constraints, and edge cases. This ensures a comprehensive understanding of the desired outcome prior to specification creation.

What is structured gleaning for feature design?

Structured gleaning for feature design is a process of using high-leverage questions to extract actionable responses from feature requests. It helps clarify goals, scope, and edge cases to improve software development accuracy before writing specifications.

How do I create actionable specifications from raw feature requests?

You can create actionable specifications by running a pre-spec gleaning process that guides you through targeted questions. This extracts comprehensive requirements and saves the output to a markdown file for later use in specification creation.

Can I save gleaning output for later use in software development?

Yes, you can save gleaning output for later use in software development. The process automatically exports the structured feature design responses to a markdown file located in the .mumei/scratch/ directory for downstream composition.

What is the best way to identify edge cases in feature design?

The best way to identify edge cases in feature design is through a structured gleaning process that asks predefined questions. This approach systematically uncovers constraints and edge cases that might otherwise be missed during specification creation.