llm-wiki

Build and maintain persistent knowledge bases with interlinked markdown files.

Updated May 13, 2026

Search Tags:#markdown #research #knowledge management #knowledge base #wiki

Ready to run

npx skills add https://github.com/skkeoriw/hermes-brain --skill llm-wiki-skkeoriw

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/skkeoriw/hermes-brain/tree/main/brain/hermes-home/skills/research/llm-wiki
Command: npx skills add https://github.com/skkeoriw/hermes-brain --skill llm-wiki-skkeoriw

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you create and maintain a persistent, compounding knowledge base using interlinked markdown files, simplifying research and information management.

Core Features & Use Cases

Persistent Knowledge Base: Store and organize vast amounts of information in a structured format.
Interlinked Markdown: Utilize markdown files for easy organization and navigation.
Wiki Operations: Ingest sources, manage entities, and perform queries within the knowledge base.
Use Case: Imagine you are conducting research on AI and machine learning. Use this Skill to build a comprehensive knowledge base that includes articles, papers, and analyses, making it easy to reference and update your research.

Quick Start

Use the llm-wiki skill to create a new knowledge base for AI research and start ingesting relevant articles and papers.

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 persistent knowledge base from research papers and articles?▼

Build a persistent knowledge base by ingesting research sources into interlinked markdown files. This Skill structures articles and papers for easy navigation, allowing you to store and organize vast amounts of research information in a compounding format.

Can I manage and query interlinked markdown files for research organization?▼

Yes, you can manage and query interlinked markdown files for research organization. The Skill supports ingesting sources, managing entities, and performing queries directly within your knowledge base to retrieve stored information.

What is the best way to organize unstructured research notes into a wiki?▼

Organizing unstructured research notes into a wiki is best handled by converting them into interlinked markdown files. This approach creates a structured, navigable knowledge base that compounds over time as you ingest more sources.

Does this knowledge management approach require a specific database or platform?▼

No specific database or platform is required because the knowledge management approach relies entirely on parsing and managing markdown files. Your persistent knowledge base is stored directly as interlinked markdown files.

How do I ingest sources and manage entities in a markdown wiki?▼

You ingest sources and manage entities in a markdown wiki by using the Skill's built-in wiki operations. It parses ingested materials, structures them as markdown files, and manages the entities to maintain an interlinked knowledge base.

When should I not use markdown files for knowledge management?▼

You should avoid using markdown files for knowledge management if your workflow requires complex relational database queries rather than simple text parsing, or if you need real-time collaborative editing instead of persistent file storage.