llm-wiki

Create and maintain interlinked markdown knowledge bases with YAML frontmatter.

1|1|Updated May 25, 2026
One-click install
npx skills add https://github.com/aayushsoam/clawbot-agent --skill llm-wiki-aayushsoam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/aayushsoam/clawbot-agent/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/aayushsoam/clawbot-agent --skill llm-wiki-aayushsoam

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users create and maintain a persistent, compounding knowledge base using markdown files, making it easier to organize and access information.

Core Features & Use Cases

  • Knowledge Base Creation: Build a knowledge base by ingesting sources and creating interlinked markdown files.
  • Data Ingestion: Integrate various sources like web articles, papers, and transcripts into the knowledge base.
  • Query and Synthesis: Ask questions and get synthesized answers based on the compiled knowledge.
  • Wiki Management: Lint, audit, and manage the wiki for consistency and quality.
  • Use Case: Ideal for researchers, students, or anyone who needs to organize and access a large amount of information across different domains.

Quick Start

Set the WIKI_PATH environment variable and use the llm-wiki skill to create a new knowledge base. For example, to create a new wiki for AI research, you would run:

export WIKI_PATH=~/ai-research-wiki
llm-wiki create --domain "AI/ML research"

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 using markdown files by ingesting various sources like web articles and papers, then creating interlinked pages with YAML frontmatter to define metadata and relationships.

What is the best way to organize research information across different domains?

Organizing research information across domains is best achieved by creating a structured wiki directory, ingesting sources like transcripts, and using markdown files to synthesize and query compiled knowledge.

Can I ingest web articles and transcripts into a markdown wiki?

Yes, you can ingest web articles, papers, and transcripts into a markdown wiki. The system handles source ingestion and creates interlinked pages, making the data easily accessible for queries.

How do I query and synthesize answers from a compiled knowledge base?

To query and synthesize answers from a compiled knowledge base, you ask questions directly against the structured markdown files, and the system synthesizes responses based on the ingested interlinked data.

Does managing a markdown wiki require a specific directory structure?

Yes, managing a markdown wiki requires a structured directory with files and YAML frontmatter. This structure defines the necessary metadata and relationships to maintain consistency and quality during audits.

How do I lint and audit a markdown knowledge base for consistency?

You can lint and audit a markdown knowledge base for consistency using built-in wiki management features, which check the YAML frontmatter and structured directory to ensure overall quality and proper interlinking.