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llm-wiki

Construct and maintain a persistent interlinked markdown knowledge base for AI research.

23|4|Updated Mar 3, 2026
Search Tags:#markdown#research#knowledge base#AI#wiki
One-click install
npx skills add https://github.com/NeoLabs-Systems/NeoAgent --skill llm-wiki-neolabs-systems
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/NeoLabs-Systems/NeoAgent/tree/main/server/catalog_sources/store-bundles/skills/research/llm-wiki
Command: npx skills add https://github.com/NeoLabs-Systems/NeoAgent --skill llm-wiki-neolabs-systems

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users create and maintain a persistent, interlinked markdown knowledge base, providing a structured way to ingest sources, query compiled knowledge, and ensure consistency.

Core Features & Use Cases

  • Persistent Knowledge Base: Build and maintain a knowledge base using markdown files.
  • Source Ingestion: Add various types of sources like articles, papers, and transcripts.
  • Query and Lint: Query the compiled knowledge and perform linting for consistency.
  • Use Case: For a researcher looking to create a comprehensive repository of AI research papers and notes, this skill can help organize and manage the vast amount of information efficiently.

Quick Start

Create or start a new Wiki using the llm-wiki skill. Configure the directory path and begin curating your knowledge base.

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 interlinked markdown knowledge base for AI research?▼

To build a persistent interlinked markdown knowledge base, use a structured markdown schema to ingest diverse source materials like articles and papers, then lint the compiled files for consistency and interlinking.

What is the best way to ingest and organize research papers into a markdown wiki?▼

Ingesting research papers into a markdown wiki requires adding source transcripts and articles to a structured directory, allowing the system to parse, organize, and interlink the compiled knowledge for efficient querying.

Can I query my compiled markdown knowledge base and check it for consistency?▼

You can query your compiled markdown knowledge base to retrieve stored information and run a linting process to ensure structural consistency and proper interlinking across all pages.

Do I need a specific markdown schema to maintain an AI knowledge base?▼

A specific markdown schema is required to maintain an AI knowledge base, as it provides the defined guidelines necessary for structured page creation, source ingestion, and proper interlinking.

What types of source materials can I add to a markdown wiki for research?▼

You can add diverse source materials to a markdown wiki, including research papers, articles, and transcripts, which are then parsed and interlinked within the persistent knowledge base.

When should I use a structured markdown wiki instead of standard notes for research?▼

Use a structured markdown wiki when you need to manage vast amounts of research information efficiently, requiring persistent storage, source ingestion, and linting for consistency that standard notes cannot provide.

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