llm-wiki

Name: llm-wiki
Availability: InStock
Author: heximao

Create and maintain interlinked markdown knowledge bases with entity and concept pages.

Updated May 11, 2026

Search Tags:#markdown #research #knowledge base #wiki #information organization

Ready to run

npx skills add https://github.com/heximao/agents --skill llm-wiki-heximao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/heximao/agents/tree/main/skill-archive/docker-hermes/research/llm-wiki
Command: npx skills add https://github.com/heximao/agents --skill llm-wiki-heximao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps users build and maintain a comprehensive, interlinked markdown knowledge base, allowing for easy organization and retrieval of information.

Core Features & Use Cases

Persistent Knowledge Base: Build a library of interlinked markdown files that can be accessed and updated over time.
Source Material Integration: Ingest and organize raw source material like articles, papers, and transcripts.
Entity and Concept Pages: Create pages for entities, concepts, comparisons, and queries within the knowledge base.
Update and Query: Easily update existing pages or query the knowledge base for information.
Use Case: Imagine you are conducting research on a specific topic. Use this Skill to compile and organize all relevant information into a structured knowledge base.

Quick Start

Use the llm-wiki skill to create a new knowledge base for 'AI research'.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema

How do I organize research articles and papers into an interlinked knowledge base?▼

You can organize research articles and papers into an interlinked knowledge base by ingesting the source material and structuring it into persistent markdown files. This allows easy retrieval and updates over time.

What is the best way to structure a markdown wiki for concepts and entities?▼

The best way to structure a markdown wiki for concepts and entities is by creating dedicated pages for entities, concepts, and comparisons. This approach relies on basic information organization principles to interlink the files.

Do I need to know markdown to build and maintain a research knowledge base?▼

Yes, you need to know markdown and basic information organization principles to build and maintain this research knowledge base. This knowledge is required to create, update, and query the interlinked files effectively.

Can I query existing markdown files to extract information for my research?▼

Yes, you can query existing markdown files to extract information for your research. The knowledge base supports querying the information directly after ingesting and processing the source material into the system.

How does a markdown knowledge base handle updates to source material over time?▼

A markdown knowledge base handles updates by allowing users to easily update existing pages. It maintains a persistent library of interlinked files that can be accessed and modified as new source material is processed.

Are there limitations to using markdown files for large-scale information organization?▼

Limitations of using markdown files for large-scale information organization include the manual requirement to maintain interlinks and the prerequisite knowledge of markdown and information organization principles needed to manage the structure.