llm-wiki

Ingest sources into a persistent markdown knowledge base with wikilinks.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/gqf2008/hermez-ai --skill llm-wiki-gqf2008
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/gqf2008/hermez-ai/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/gqf2008/hermez-ai --skill llm-wiki-gqf2008

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Karpathy's LLM Wiki provides a persistent, interlinked markdown knowledge base to ingest sources, query compiled knowledge, and lint for consistency, reducing duplication and improving traceability across research notes.

Core Features & Use Cases

  • Ingest sources into a cross-referenced markdown wiki that stays current
  • Query, lint, and enforce consistency across all pages with cross-links
  • Use Case: maintain a living, searchable repository of AI research notes, papers, and transcripts

Quick Start

Create or initialize a new wiki at the configured path and begin ingesting sources.

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 linked Markdown knowledge wiki for AI research notes?

To build a linked Markdown knowledge wiki, you need to ingest and organize sources into a persistent repository with YAML frontmatter and wikilinks. This creates a searchable, cross-referenced base of notes and sources.

What is the best way to maintain consistency and cross-links across a markdown knowledge base?

Maintaining consistency in a markdown knowledge base requires linting and validating cross-links across all pages. This enforces traceability, reduces duplication, and ensures your wiki remains current and accurate.

Can I ingest research papers and transcripts into an interlinked markdown wiki?

Yes, you can ingest research papers and transcripts into an interlinked markdown wiki. The system organizes these sources into a persistent repository with cross-references, making them searchable and traceable.

Do I need YAML frontmatter and wikilinks to organize a markdown knowledge base?

Yes, YAML frontmatter and wikilinks are required to organize a markdown knowledge base. You also need a wiki root with markdown pages, plus optional scripts, references, and assets directories for ingestion and validation.

How does a cross-referenced markdown wiki reduce duplication in research workflows?

A cross-referenced markdown wiki reduces duplication by applying consistent linting and cross-linking across all ingested sources. This ensures traceability and keeps your AI research notes current without repeating information.

What's the difference between a standard markdown folder and a persistent interlinked knowledge wiki?

A persistent interlinked knowledge wiki uses wikilinks, YAML frontmatter, and linting to actively cross-reference and validate sources. A standard markdown folder lacks automated ingestion, querying, and consistency enforcement.