llm-wiki

Build and maintain interlinked Markdown knowledge bases with YAML frontmatter and wikilinks.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/nadicodeai/argo-agent --skill llm-wiki-nadicodeai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/nadicodeai/argo-agent/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/nadicodeai/argo-agent --skill llm-wiki-nadicodeai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Karpathy's LLM Wiki provides a structured approach to building and maintaining a persistent, interlinked Markdown knowledge base, enabling teams to capture, organize, and retrieve knowledge across sessions.

Core Features & Use Cases

  • Persistent interlinked Markdown KB with cross-referencing between entities and concepts.
  • Ingest, lint, and audit wiki health; support provenance tagging and versioning.
  • Use case: a research team ingests papers, creates linked pages for authors, topics, and experiments, and runs consistency audits to surface gaps.

Quick Start

Ingest your first source and watch the wiki automatically link related concepts and entities.

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 persistent Markdown knowledge base with cross-references?

Build a persistent Markdown knowledge base by ingesting sources to create interlinked pages for entities and concepts. The wiki automatically generates cross-references using wikilinks and YAML frontmatter to connect related topics across sessions.

What is the LLM Wiki pattern for organizing knowledge?

The LLM Wiki pattern structures knowledge by creating interlinked Markdown pages for entities and concepts. It uses a lightweight schema with YAML frontmatter for provenance tagging and page health tracking, ensuring captured knowledge remains organized and retrievable.

How do I maintain wiki consistency and track provenance across sessions?

Maintain wiki consistency by running consistency audits to surface gaps and track page health. Provenance is managed through YAML frontmatter and tagging within the Markdown pages, ensuring source attribution and versioning persist across sessions.

Can I ingest research papers and automatically link authors and topics?

Yes, you can ingest research papers to automatically create linked pages for authors, topics, and experiments. The wiki automatically cross-references these entities, organizing extracted concepts into an interlinked knowledge structure.

Does this knowledge base approach require external dependencies to manage wikilinks?

No external dependencies are required to manage wikilinks and Markdown pages. The wiki operates independently using a lightweight schema, YAML frontmatter, and native wikilinks to maintain interlinked pages and track page health.

What is the best way to audit a Markdown wiki for gaps and outdated pages?

The best way to audit a Markdown wiki is running built-in consistency audits to surface gaps and evaluate page health. The system lints ingested sources and checks cross-references to keep the interlinked knowledge base current.