llm-wiki

Name: llm-wiki
Availability: InStock
Author: brittaniebuffiecsu

Automate creation and maintenance of interlinked markdown knowledge bases.

1|Updated Feb 17, 2026

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

Ready to run

npx skills add https://github.com/brittaniebuffiecsu/zerogravityclaw --skill llm-wiki-brittaniebuffiecsu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/brittaniebuffiecsu/zerogravityclaw/tree/main/src/hermes-core/skills/research/llm-wiki
Command: npx skills add https://github.com/brittaniebuffiecsu/zerogravityclaw --skill llm-wiki-brittaniebuffiecsu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires node.js, yaml, fs, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of building and maintaining a comprehensive, interlinked knowledge base using markdown files, significantly reducing the manual effort required for knowledge organization and research.

Core Features & Use Cases

Knowledge Base Creation: Build a persistent knowledge base with structured markdown files.
Data Ingestion: Ingest various types of content such as articles, papers, and transcripts into the knowledge base.
Query and Synthesis: Retrieve and synthesize information from the knowledge base for answers and insights.
Wiki Management: Maintain the structure, update pages, and audit the integrity of the knowledge base.
Use Case: For a researcher or student, create a knowledge base on a specific domain, such as AI, and continuously update it with new research papers and articles.

Quick Start

Initialize a new LLM Wiki with the default directory structure and schema by executing the command 'npm run app:one-click'.

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 using markdown files?▼

To build a persistent knowledge base, you can automate the creation and maintenance of interlinked markdown files by initializing the structure with a one-click command in a Node.js environment. This allows continuous ingestion of research papers and articles.

What is the best way to automate wiki management for research notes?▼

Automating wiki management involves using scripts to maintain directory structure, update pages, and audit integrity for your research notes. This significantly reduces manual effort required for organizing knowledge and synthesizing information from various content types.

Do I need Node.js to maintain an interlinked markdown wiki?▼

Yes, you need a Node.js environment along with specific libraries like yaml and fs to process markdown and handle files. These dependencies are required to run the scripts that automate ingestion and manage the knowledge base structure.

Can I ingest articles and transcripts into a markdown knowledge base?▼

Yes, you can ingest various content types such as articles, papers, and transcripts into the markdown knowledge base. The system supports structured query processing to retrieve and synthesize information from these ingested sources for insights.

How do I initialize a new interlinked markdown knowledge base?▼

You can initialize a new markdown knowledge base with the default directory structure and schema by executing the command 'npm run app:one-click' in your Node.js environment. This sets up the foundational files needed to start organizing your research.