Guides users through a structured process to extract and clarify feature requirements.
npx skills add https://github.com/iroh4-labs/mumei --skill glean-iroh4-labs
Please help me install this Agent Skill. Skill: glean Source: https://github.com/iroh4-labs/mumei/tree/main/skills/glean Command: npx skills add https://github.com/iroh4-labs/mumei --skill glean-iroh4-labs
This Skill addresses the challenge of vague feature requests by guiding users through a structured gleaning process, ensuring clarity and completeness in feature design.
.mumei/scratch/<topic>.md file that serves as input for further specification development./mumei:glean or through specific feature request triggers.Run the 'glean' skill to start a structured gleaning session with the user for a new feature request.
High-intent search queries and answers about installing and using this skill.
Structured gleaning is a conversational process used to extract and clarify feature requirements, ensuring clarity and completeness in feature design. It helps transform vague feature requests into structured specifications by capturing goals, scope, constraints, and edge cases.
To start a structured gleaning session, you run the 'glean' skill manually using the '/mumei:glean' command or through specific feature request triggers. The skill will guide you through an interactive conversation to capture essential feature details.
Yes, this skill supports user collaboration to refine and clarify feature requirements. It encourages active user participation during the structured conversation to ensure all essential details are captured accurately for specification development.
The gleaning process generates a structured output file located at '.mumei/scratch/<topic>.md'. This markdown file captures the clarified feature requirements and serves as input for further specification development.
No dependencies are required to run the gleaning process. The skill operates independently to guide users through structured conversations and generate the output specification file.
The best way to clarify feature scope and edge cases is through a structured gleaning conversation. By asking high-leverage questions and capturing user responses, this approach ensures all constraints and edge cases are documented for specification development.
iroha924Guide feature request refinement through structured gleaning questions.
iroha924Orchestrate mumei feature development by automating specifications, design documents, and task plans.
plastic-labsCapture cross-project user preferences and environment details into Honcho memory.
t-miura-024Transform feature requests into structured specifications with multi-perspective review workflows.