llm-wiki

Convert nuclear materials research PDFs into an interconnected wiki with validation.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/Etoile04/material-llm-wiki --skill llm-wiki-etoile04
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/Etoile04/material-llm-wiki/tree/main/skills
Command: npx skills add https://github.com/Etoile04/material-llm-wiki --skill llm-wiki-etoile04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires prompt-engineering, Markdown parser, mermaid, KaTeX, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

It enables structured, cross-referenced management of nuclear materials literature and parameters, facilitating efficient knowledge extraction, validation, and querying.

Core Features & Use Cases

  • Knowledge Compilation: Converts raw documents into an interconnected wiki with concepts, entities, and summaries.
  • Automated Ingestion & Validation: Handles PDF conversion, prompt orchestration, and parameter validation workflows.
  • Use Case: Researchers can rapidly build a comprehensive database of nuclear fuel properties, enabling easier comparison and analysis.

Quick Start

Use the llm-wiki skill to ingest new papers by specifying the PDFs or summaries, then validate and compile the wiki content through configured prompts.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema
How do I build a cross-linked nuclear materials knowledge base from research PDFs?

You can build a cross-linked nuclear materials knowledge base by ingesting research PDFs to automatically extract concepts, entities, and summaries. The process handles PDF conversion and prompt orchestration to compile structured, interconnected literature data for efficient querying.

What is the best way to validate extracted nuclear fuel parameters from scientific literature?

Validating extracted nuclear fuel parameters is achieved through automated ingestion workflows that apply parameter validation checks during knowledge compilation. This ensures consistent data ingestion and high-quality curation of scientific literature into the repository.

Can I use Markdown and KaTeX to format extracted nuclear materials data in my wiki?

Yes, you can use Markdown and KaTeX to format extracted nuclear materials data. The knowledge base utilizes a Markdown parser and KaTeX to structure concepts and render scientific formulas within the cross-linked wiki entries.

Does this knowledge management workflow support automated cross-linking of nuclear research concepts?

Yes, this knowledge management workflow supports automated cross-linking of nuclear research concepts. It converts raw documents into an interconnected wiki, automatically linking extracted entities and summaries for efficient querying.

How do I generate interactive diagrams for a nuclear materials knowledge base?

You generate interactive diagrams for a nuclear materials knowledge base by utilizing the integrated Mermaid dependency. This allows you to visually represent interconnected concepts and parameter relationships within the compiled wiki documentation.