llm-wiki

Ingest sources into an interlinked Markdown wiki with frontmatter metadata.

Updated May 3, 2026
One-click install
npx skills add https://github.com/Yangel-hide/video-production-planner-agent --skill llm-wiki-yangel-hide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/Yangel-hide/video-production-planner-agent/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/Yangel-hide/video-production-planner-agent --skill llm-wiki-yangel-hide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Karpathy's LLM Wiki aims to build and maintain a persistent, interlinked Markdown knowledge base to reduce rework and improve cross-reference quality. It consolidates ingested sources into a navigable wiki that stays current, highlights contradictions, and supports cross-page synthesis.

Core Features & Use Cases

  • Cross-linked Markdown knowledge base: three layers (raw sources, wiki pages, schema) for robust provenance and maintainability.
  • Automated ingestion and curation: agent summarizes, cross-references, files, and maintains consistency across sources.
  • Use cases: ingest new sources, answer questions from the wiki, lint or audit the wiki, reference knowledge in research tasks.

Quick Start

Ingest a source, then query the wiki for cross-referenced insights.

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 cross-referenced Markdown wiki from multiple research sources?

To build a cross-referenced Markdown wiki, you ingest raw sources into a structured directory layout featuring schema, raw files, and wiki pages. An agent then summarizes, cross-references, and files materials to prevent information loss and maintain consistency.

What is the best way to organize ingested materials into an interlinked knowledge base?

Organizing ingested materials into an interlinked knowledge base requires a three-layer structure: raw sources, wiki pages, and schema. This layout ensures robust provenance, enables navigable cross-page synthesis, and maintains consistency across sources.

How does frontmatter metadata improve wiki cross-referencing and linting?

Frontmatter metadata improves wiki cross-referencing and linting by providing structured, agent-readable context for each page. This supports automated curation, highlights contradictions, and maintains consistency across the knowledge base.

Can I use an automated agent to audit and query a Markdown wiki for contradictions?

Yes, you can use an automated agent to audit and query a Markdown wiki for contradictions. The agent-driven curation process lints the knowledge base, highlights contradictions across pages, and answers questions using cross-referenced insights.

Do I need a specific directory structure to maintain Markdown wiki provenance?

Yes, you need a specific directory structure to maintain Markdown wiki provenance. The required layout features a wiki directory containing schema, raw sources, and cross-linked pages to ensure robust provenance and maintainability.

Why does my research wiki lose information when updated from multiple sources?

Research wikis lose information when updated from multiple sources due to messy cross-references and lack of structured curation. Applying an agent-driven ingestion process with a three-layer Markdown structure prevents this loss and keeps the wiki current.