llm-wiki

Ingest and organize knowledge into a persistent, interlinked Markdown wiki.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/matthew-johnson/hermes-agent --skill llm-wiki-matthew-johnson
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/matthew-johnson/hermes-agent/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/matthew-johnson/hermes-agent --skill llm-wiki-matthew-johnson

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Karpathy's LLM Wiki provides a guided approach to building a persistent, interlinked knowledge base using Markdown, enabling fast cross-referencing and synthesis across sources.

Core Features & Use Cases

  • Persistent Markdown wiki with interlinked pages for rapid navigation.
  • Ingestion, curation, and cross-linking of notes, articles, and transcripts.
  • Linting, schema definitions, and structured frontmatter to maintain consistency.

Quick Start

Create or load your wiki, then ingest a source to begin building a persistent interlinked 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 an interlinked Markdown wiki for research notes?

Build an interlinked Markdown wiki by ingesting source materials into a persistent knowledge base. The system organizes notes with structured frontmatter and cross-referencing, enabling rapid navigation and synthesis across articles and transcripts.

What is the best way to maintain consistency across a Markdown knowledge base?

Maintain consistency in a Markdown knowledge base through built-in linting, schema definitions, and structured frontmatter. These features enforce uniform page formats and metadata standards during ingestion and versioned updates.

Can I use a Markdown wiki as a RAG alternative for querying long-term notes?

Use a Markdown wiki as a RAG alternative by querying an interlinked knowledge base directly. It targets research workflows by leveraging cross-referenced pages and frontmatter-based discovery to retrieve and synthesize information without vector databases.

How do I ingest and curate external sources into a persistent knowledge base?

Ingest and curate external sources by loading articles and transcripts into the wiki system. The process creates persistent, cross-linked pages with structured templates, supporting versioned updates for long-term research notes.

Does this wiki approach support frontmatter-based page discovery and cross-linking?

Frontmatter-based discovery and cross-linking are fully supported. The wiki uses structured frontmatter schemas to index pages, enabling rapid navigation and automated linkage between related knowledge base entries.

What are the limitations of using Markdown for a cross-linked research wiki?

A limitation of a Markdown cross-linked wiki is that maintaining schema consistency requires structured linting. Users must manage versioned updates and frontmatter schemas manually to ensure reliable page discovery and interlinking.