llm-wiki

Create and maintain a persistent markdown knowledge base with entity, concept, and comparison pages.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/shuff57/agent-evo --skill llm-wiki-shuff57
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/shuff57/agent-evo/tree/main/skills/.archive/topics-2026-05-10/research/llm-wiki
Command: npx skills add https://github.com/shuff57/agent-evo --skill llm-wiki-shuff57

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of building and maintaining a comprehensive, interlinked knowledge base using markdown files, providing a structured and efficient way to compile, organize, and access information.

Core Features & Use Cases

  • Persistent Knowledge Base: Creates a persistent knowledge base for storing and accessing information.
  • Interlinked Markdown Files: Uses markdown files for storing and organizing knowledge in a structured manner.
  • Entity and Concept Pages: Generates pages for entities, concepts, and comparisons, allowing for detailed and organized information storage.
  • Query and Synthesis: Enables querying the knowledge base and synthesizing answers based on the compiled information.
  • Use Case: Ideal for researchers, students, or anyone needing to compile and access a vast amount of information across various domains.

Quick Start

Initialize a new LLM Wiki and ingest the following sources: 'AI/ML research articles', 'personal health data', 'startup intelligence reports'.

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?

You can build a persistent knowledge base by ingesting information into structured markdown files. This skill creates interlinked entity, concept, and comparison pages to organize and store your compiled information.

What is the best way to organize research articles into an interlinked knowledge base?

Organizing research articles is handled by generating specific entity, concept, and comparison markdown pages. This creates an interlinked structure that allows for efficient querying and synthesis of your compiled information.

How do I query and synthesize information from a markdown knowledge base?

Querying and synthesizing information from a markdown knowledge base is supported by the skill's internal mechanisms. It processes your compiled markdown files to generate synthesized answers based on the stored data.

Can I use this to manage startup intelligence reports and personal health data together?

Yes, you can manage startup intelligence reports and personal health data together within a single persistent knowledge base. The skill handles information across various domains by organizing it into structured markdown files.

Do I need specific file management capabilities to maintain a markdown knowledge base?

Yes, maintaining a markdown knowledge base requires markdown and file management capabilities. The skill depends on these capabilities to create, store, and access your persistent information files.

What types of pages are generated for storing concepts and entities in a knowledge base?

The knowledge base generates dedicated markdown pages for entities, concepts, and comparisons. These page types allow for detailed and organized information storage across your compiled research data.