llm-wiki

Build an interlinked Markdown wiki with frontmatter, tags, and provenance markers.

Updated May 2, 2026
One-click install
npx skills add https://github.com/AlvaroBiano/hermes-agent --skill llm-wiki-alvarobiano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/AlvaroBiano/hermes-agent/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/AlvaroBiano/hermes-agent --skill llm-wiki-alvarobiano

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Karpathy's LLM Wiki consolidates scattered notes into a persistent, interlinked Markdown knowledge base that stays current and coherent.

Core Features & Use Cases

  • Builds an interlinked Markdown knowledge base from ingested sources.
  • Enables cross-referencing of entities, concepts, and queries for efficient retrieval.
  • Supports ongoing curation, provenance tracking, and schema-driven structure for auditable knowledge.

Quick Start

Initialize a 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 an interconnected Markdown wiki from scattered research notes?

You can build an interconnected Markdown wiki by ingesting diverse sources to generate cross-referenced entity and concept pages. This consolidates scattered notes into a persistent knowledge base with enforced frontmatter, tagging, and provenance markers for reliable retrieval.

What's the best way to organize a knowledge base with cross-linking and provenance tracking?

Organizing a knowledge base with cross-linking requires a schema-driven structure that enforces frontmatter and provenance markers. This approach tracks source origins and maintains auditable links between entities, concepts, and queries during continuous knowledge curation.

How does cross-referencing entities in a Markdown knowledge base work?

Cross-referencing entities in a Markdown knowledge base works by compiling ingested sources into interlinked pages. The schema-driven structure enforces consistent cross-linking between related concepts and entities, ensuring coherent and efficient information retrieval.

Can I use a schema-driven Markdown wiki for continuous research knowledge curation?

Yes, you can use a schema-driven Markdown wiki for continuous research knowledge curation. It supports ongoing curation by enforcing frontmatter, tagging, and provenance markers, which maintains an auditable and coherent knowledge base as new sources are added.

Do I need specific tools to maintain an interlinked Markdown wiki for knowledge management?

No external dependencies are required to maintain an interlinked Markdown wiki. The system operates independently, using standard Markdown files with enforced frontmatter and schema-driven structure to manage knowledge management workflows without additional components.

What are the limitations of using Markdown files for a cumulative knowledge base?

Using Markdown files for a cumulative knowledge base requires strict adherence to schema-driven structures and enforced frontmatter to maintain coherence. Without consistent cross-linking and provenance markers, the wiki's auditable structure may degrade during continuous curation.