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.