karpathy-llm-wiki

Compile raw source materials into structured markdown wiki pages.

1.8k|213|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/Astro-Han/karpathy-llm-wiki --skill karpathy-llm-wiki-astro-han
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: karpathy-llm-wiki
Source: https://github.com/Astro-Han/karpathy-llm-wiki/tree/main
Command: npx skills add https://github.com/Astro-Han/karpathy-llm-wiki --skill karpathy-llm-wiki-astro-han

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill solves the problem of fragmented, ephemeral knowledge by enabling an LLM to maintain a structured, durable wiki that compounds in value over time rather than requiring manual re-searching of raw documents.

Core Features & Use Cases

  • Automated Knowledge Compilation: Ingests raw sources into structured, cross-linked markdown articles.
  • Intelligent Querying: Searches your curated wiki to provide grounded answers with direct citations.
  • Wiki Maintenance: Automatically lints for broken links, index integrity, and cross-reference health.
  • Use Case: A developer can ingest research papers, blog posts, and documentation into a raw folder, and the skill will compile them into a coherent, searchable wiki that evolves as new information is added.

Quick Start

Ingest the article at https://example.com/attention-is-all-you-need into my wiki.

Frequently Asked Questions about karpathy-llm-wiki

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate LLM knowledge management from raw research documents?

You can automate LLM knowledge management by compiling raw source materials into structured markdown wiki pages. The system ingests documents into a raw folder and synthesizes them into cross-linked, searchable articles that persist and compound in value.

What is the best way to maintain a persistent wiki from research papers and blog posts?

The best way to maintain a persistent wiki is using automated ingestion to compile raw research papers and blog posts into structured markdown articles. This prevents ephemeral knowledge loss by cross-linking sources and grounding queries with direct citations.

How do I check wiki integrity and fix broken cross-references in my documentation?

Check wiki integrity by running automated linting on the compiled markdown wiki. This process identifies broken links, validates index integrity, and ensures cross-reference health across the entire knowledge base.

Do I need a specific directory structure to build a compounding LLM knowledge base?

Yes, you need a project-root directory structure with raw and wiki subdirectories. The raw subdirectory manages immutable source materials, while the wiki subdirectory stores the synthesized knowledge articles.

Can I query my curated markdown wiki and get grounded answers with citations?

Yes, you can query your curated markdown wiki to receive grounded answers with direct citations. The intelligent querying feature searches the structured articles to provide accurate responses based on your ingested sources.

What are the limitations of using markdown for automated knowledge compilation?

Limitations of markdown knowledge compilation include dependency on a strict project-root directory structure with raw and wiki subdirectories. The system requires immutable sources in the raw folder to synthesize accurate cross-linked articles.