llm-wiki

Ingest sources into an interlinked Markdown knowledge base with schema enforcement.

2.8k|332|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/moltis-org/moltis --skill llm-wiki-moltis-org
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/moltis-org/moltis/tree/main/crates/skills/src/assets/research/llm-wiki
Command: npx skills add https://github.com/moltis-org/moltis --skill llm-wiki-moltis-org

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Karpathy's LLM Wiki provides a persistent, interlinked Markdown knowledge base that ingests sources, compiles them into a navigable network, and offers linting for consistency across pages. It enables long-term knowledge retention and rapid cross-reference discovery without re-deriving from scratch.

Core Features & Use Cases

  • Ingest sources (articles, papers, transcripts) into a structured wiki with cross-links
  • Compile and query knowledge across pages, with consistency checks and schema enforcement
  • Lint, audit, and evolve the wiki to maintain coherence as the knowledge base grows
  • Use cases: initialize a research wiki for a project, curate a living knowledge base for a team, and maintain an indexed repository of notes and references

Quick Start

Initialize and seed a wiki by setting a wiki path and starting ingestion to begin building your knowledge graph.

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 knowledge base from research papers and notes?

To build an interlinked markdown knowledge base, you can ingest sources like articles, papers, and transcripts into a structured wiki. The system automatically cross-references concepts and enforces schema-consistent pages to maintain navigability.

What is markdown wiki linting and why is it needed?

Markdown wiki linting is the process of auditing and enforcing schema consistency across frontmatter, cross-links, and tag taxonomy. It is needed to maintain coherence, ensure structured navigation, and preserve long-term knowledge retention as your repository grows.

How do I ingest transcripts and articles into a structured wiki with cross-links?

You can ingest transcripts and articles by setting a wiki path and starting the ingestion process. The system compiles these sources into a navigable network, automatically generating cross-links and enforcing structured frontmatter for each page.

Can I use this to maintain a team knowledge base with structured frontmatter and tag taxonomy?

Yes, this approach is specifically applicable to team knowledge bases and long-term project wikis. It satisfies requirements for structured frontmatter, cross-links, tag taxonomy, and incremental linting to preserve consistency across collaborative environments.

What is the best way to organize a personal research repository for rapid cross-reference discovery?

The best way to organize a personal research repository is by compiling sources into a persistent, interlinked markdown wiki. This enables rapid cross-reference discovery and long-term knowledge retention without re-deriving concepts from scratch.

How does incremental linting preserve consistency as a knowledge base grows?

Incremental linting preserves consistency by continuously auditing the wiki's schema, cross-links, and tag taxonomy as new sources are ingested. This ensures the navigable network remains coherent and structured throughout the knowledge base's evolution.