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.