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research-clustering

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Turn text into structured research maps.

Education & Research#research#surveys#strategy#taxonomy#mapping#clustering#domain-identification
AuthorYuriNakayama
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Cluster and map research targets from text or keywords into a structured domain plan, enabling focused exploration and strategized investigation.

Core Features & Use Cases

  • Domain identification and clustering: extract core domains from input seeds and partition them into cohesive clusters with clear boundaries.
  • Multi-level structuring: support 3–8 clusters with optional two-level hierarchy to reflect natural domain sub-areas.
  • Output & guidance: provide an overview, relevant keywords, and a tailored research strategy for each cluster; in Detailed mode, include seed resources from survey papers to inform taxonomy mapping.

Quick Start

Provide a research theme or keywords to generate domain clusters, overviews, and a strategy for deeper investigation.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: research-clustering
Download link: https://github.com/YuriNakayama/research/archive/main.zip#research-clustering

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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