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knowledge-discovery

Analyze markdown document repositories to identify knowledge clusters, topic branches, and gaps.

1|Updated Jun 7, 2024
Search Tags:#documents#discovery#knowledge#clustering#topic-modeling#knowledge-gap
One-click install
npx skills add https://github.com/jsco2t/dotfiles --skill knowledge-discovery-jsco2t
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-discovery
Source: https://github.com/jsco2t/dotfiles/tree/main/.claude/skills/knowledge-discovery
Command: npx skills add https://github.com/jsco2t/dotfiles --skill knowledge-discovery-jsco2t

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Knowledge workers often accumulate large document repositories with little visibility into structure, topics, or gaps. This Skill provides a systematic way to map the corpus into clusters, surface new topic branches, and identify high-value isolates to guide documentation strategy and content creation.

Core Features & Use Cases

  • Cluster documents by topical similarity to reveal domain areas and coverage.
  • Identify recent or emerging topics that warrant deeper exploration (new topic branches).
  • Highlight high-value isolates, bridging topics, and knowledge gaps to drive new documents.
  • Produce actionable recommendations and ready-to-create topics to grow the knowledge base.

Quick Start

Run the analysis on a directory containing markdown knowledge assets to generate a structured clusters report.

Frequently Asked Questions about knowledge-discovery

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

FAQPage Schema
How do I identify knowledge gaps in a document repository?▼

Topic modeling clusters your markdown documents by topical similarity to reveal domain areas and coverage. It identifies emerging topic branches and isolates, helping you systematically map your corpus structure and guide documentation strategy.

How do I find emerging topics in my markdown notes?▼

Yes, you can analyze a directory of markdown knowledge assets to generate a structured clusters report. This analysis produces clusters, branches, isolates, and gaps, providing ready-to-create topics to grow your knowledge base.

What is the best way to cluster documents by topical similarity?▼

Document clustering works by analyzing topical similarity across a repository to group related markdown-style notes. It maps the corpus structure, highlights bridging topics, and identifies high-value isolates to drive new document creation.

Can I use document clustering for any corpus of markdown notes?▼

Document clustering is suitable for any corpus of markdown-style notes where you want to map structure and surface gaps. It systematically identifies domain areas, emerging topics, and high-value isolates to guide documentation strategy.

How do I analyze a document repository to recommend new topics to create?▼

Knowledge gap analysis highlights high-value isolates, bridging topics, and missing coverage within your document clusters. It drives new documents by producing actionable recommendations and ready-to-create topics to deepen corpus coverage.

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