llm-wiki

Ingest sources into a persistent, interlinked markdown knowledge base.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/tangzheng202202/hermes-skills --skill llm-wiki-tangzheng202202
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/tangzheng202202/hermes-skills/tree/main/05-research/research/llm-wiki
Command: npx skills add https://github.com/tangzheng202202/hermes-skills --skill llm-wiki-tangzheng202202

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps build and maintain a persistent, interlinked markdown knowledge base by ingesting sources, compiling knowledge, querying it, and linting for consistency.

Core Features & Use Cases

  • Ingest sources: add articles, papers, and transcripts to the knowledge base.
  • Cross-link and organize: automatically link related concepts, entities, and queries to enable quick navigation.
  • Lint and query: ensure structural consistency and fast retrieval with built-in search capabilities.

Quick Start

Initialize a new wiki and start ingesting your first sources.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema
How do I create a persistent markdown knowledge base from multiple sources?

To create a markdown knowledge base, ingest articles, papers, and transcripts. The system compiles sources into an interlinked structure, ensuring navigability and fast retrieval.

How does cross-linking work for organizing markdown wiki pages?

Cross-linking automatically connects related concepts, entities, and queries within your wiki. This organizes the markdown pages to enable quick navigation and structured knowledge discovery.

What is the best way to lint a markdown wiki for consistency?

The best way to lint a markdown wiki is to validate frontmatter, taxonomy, page structure, and cross-reference requirements. This ensures structural consistency and navigability across the knowledge base.

Can I query my markdown knowledge base for fast information retrieval?

Yes, you can query your markdown knowledge base using built-in search capabilities. It enables fast retrieval of compiled knowledge while satisfying structural and taxonomy requirements.

Does this knowledge base tool support ingesting transcripts and academic papers?

Yes, the knowledge base tool supports ingesting transcripts and academic papers. It processes these sources to compile and organize information into a persistent, interlinked markdown structure.