cluster-documents

What problem does it solve?

This skill analyzes a repository of documents to group them by content similarity, topic, or purpose, helping to reduce redundancy and reveal relationships.

Core Features & Use Cases

• Automated clustering: group documents by similarity using NLP vector representations.
• Label generation: derive meaningful labels for each cluster based on dominant terms.
• Use Case: organize a large knowledge base by topic to speed up retrieval and discovery.

Quick Start

Input the path to your document repository and run a clustering pass to produce labeled document groups.