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llmapper

Generate concept maps from articles via a four-stage pipeline.

Updated Mar 12, 2026
Search Tags:#knowledge graph#mermaid#claude code#concept map#RDF#cytoscape#input detection
One-click install
npx skills add https://github.com/meytalp-dev/ort-training --skill llmapper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llmapper
Source: https://github.com/meytalp-dev/ort-training/tree/main/.claude/skills/llmapper
Command: npx skills add https://github.com/meytalp-dev/ort-training --skill llmapper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically generate concept maps from articles to help you organize and visualize complex information.

Core Features & Use Cases

  • Input flexibility: handles file uploads, URLs, and pasted text.
  • Canonical RDF: maintains a single source of truth for the knowledge graph.
  • Mermaid and Cytoscape outputs: supports inline diagrams and exportable visualizations.
  • Workflow automation: guides content through a four-stage pipeline: focusing questions, summarization, RDF creation, and visualization.

Quick Start

Provide an article as a file, URL, or pasted text to generate a concept map.

Frequently Asked Questions about llmapper

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

FAQPage Schema
How do I generate a concept map from an article?▼

To generate a concept map from an article, provide the text via file upload, URL, or pasted content. The system processes the input through a four-stage pipeline to produce interactive visualizations and structured knowledge graph data.

How does an RDF knowledge graph work as a source of truth for concept maps?▼

RDF serves as the canonical source of truth by structuring extracted concepts and relationships into a standardized graph format. This ensures data integrity before rendering visual outputs like Mermaid diagrams or Cytoscape visualizations.

Can I use URLs and file uploads to create Mermaid diagrams automatically?▼

Yes, you can use URLs, file uploads, and pasted text to create Mermaid diagrams. The input is detected automatically and routed through summarization and RDF creation stages to output inline diagrams.

What is the best way to convert text into an interactive knowledge graph?▼

The best way to convert text into an interactive knowledge graph is using an automated pipeline that extracts concepts via focusing questions, summarizes content, builds canonical RDF, and renders Mermaid or Cytoscape visualizations.

Does the concept map generation pipeline support Cytoscape export?▼

Yes, the concept map generation pipeline supports optional Cytoscape visualizations. Alongside standard Mermaid diagrams, you can export the canonical RDF data into Cytoscape for advanced network analysis.

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