A Claude Skill that transforms articles, PDFs, URLs, or pasted text into visual concept maps using a four-stage LLM pipeline with Mermaid diagram output.
git clone https://github.com/jorgearango/llmapper-skill.gitLLMapper Skill is a Claude Skill that converts articles and documents into structured visual knowledge graphs, answering what a subject is about and why it matters. It accepts file uploads (PDFs, text files), URLs, and pasted text as input sources. The skill processes content through four sequential stages: generating focusing questions for the user to choose from, summarizing key concepts and relationships, structuring data as an RDF knowledge graph, and rendering a Mermaid flowchart diagram inline as a Claude artifact. Researchers, students, and knowledge workers who need to quickly map and retain complex information from articles will find this skill especially useful.
Download the llmapper-skill.zip file from the repository and install it as a Claude Skill. Once installed, provide an article via file upload (PDF or text), a URL, or pasted text. The skill guides you through four stages: selecting a focusing question, summarization, RDF generation, and final Mermaid diagram rendering inline in Claude.
Convert a research paper PDF into a navigable concept map
Summarize a long web article as a visual knowledge graph by pasting its URL
Extract and visualize key distinctions and contrasts from dense text
Generate multiple conceptual perspectives on a topic and choose the most relevant
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/jorgearango/llmapper-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a concept map for [TOPIC] using the llmapper-skill. Include at least 10 key concepts and show the relationships between them. Format the output as a markdown table with columns for Concept, Description, and Related Concepts. Focus on [SPECIFIC ASPECT] of the topic.
Here's a concept map for 'Renewable Energy Technologies' focusing on solar power: | Concept | Description | Related Concepts | |-------------------|-----------------------------------------------------------------------------|---------------------------------------| | Photovoltaic Cells | Convert sunlight directly into electricity using semiconducting materials. | Solar Panels, Silicon, Efficiency | | Solar Panels | Arrays of photovoltaic cells designed for large-scale electricity generation. | Grid Integration, Rooftop Installations | | Grid Integration | Systems that connect solar power to the electrical grid. | Energy Storage, Smart Grids | | Energy Storage | Technologies that store excess solar energy for later use. | Batteries, Flywheels, Hydrogen | | Efficiency | The percentage of sunlight converted into usable electricity. | Thin-Film, Monocrystalline, Bifacial | | Thin-Film | A type of photovoltaic cell made by depositing one or more thin layers. | Cadmium Telluride, Amorphous Silicon | | Monocrystalline | Photovoltaic cells made from a single, continuous crystal structure. | Efficiency, Cost | | Bifacial | Solar panels that can collect sunlight from both sides. | Efficiency, Installation Angles | | Rooftop Installations | Solar panels installed on residential or commercial buildings. | Net Metering, Incentives | | Net Metering | A billing mechanism that allows solar energy system owners to feed excess energy back into the grid. | Incentives, Policy | This map shows the interconnected nature of solar power technologies and their supporting systems.
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