llm-wiki

Build and maintain an interlinked Markdown knowledge base with provenance tracking.

Updated Jun 28, 2026
One-click install
npx skills add https://github.com/jleechanorg/hermes-agent --skill llm-wiki-jleechanorg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/jleechanorg/hermes-agent/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/jleechanorg/hermes-agent --skill llm-wiki-jleechanorg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build and maintain a persistent, interlinked Markdown knowledge base.

Core Features & Use Cases

  • Cross-referenced wiki pages built from interlinked Markdown files
  • Ingest sources, organize notes, and maintain a continuous knowledge archive
  • Supports local editor workflows (Obsidian, VS Code) with provenance tracking

Quick Start

Create or ingest a source to seed and grow a linked markdown wiki.

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 interlinked Markdown knowledge base from research notes?

Build an interlinked Markdown knowledge base by ingesting source files and cross-referencing wiki pages. The system enforces frontmatter metadata, wiki structure, and provenance tracking to maintain a continuous, consistent knowledge graph across your notes.

Does this knowledge management workflow support local editors like Obsidian and VS Code?

Yes, the knowledge base supports local editor workflows with Obsidian and VS Code. It maintains provenance tracking and enforces frontmatter metadata so your cross-referenced wiki structure remains consistent across different editors.

What's the best way to organize research notes into a persistent wiki with cross-references?

Organize research notes into a persistent wiki by ingesting sources and letting the system build cross-referenced pages. It enforces frontmatter metadata and wiki structure to ensure your knowledge archive remains interlinked and consistent over time.

Can I track provenance and metadata when building a Markdown knowledge graph?

Yes, the Markdown knowledge graph enforces frontmatter metadata and provenance tracking. This ensures that every ingested source and cross-referenced wiki page maintains consistent origin tracking and structural metadata across your local workflows.

How do I run a health check on an interlinked Markdown wiki?

Run health checks across your local editor workflows to verify the integrity of your interlinked Markdown wiki. This process validates frontmatter metadata, wiki structure, and cross-references to ensure the knowledge graph remains consistent.

When do I need enforced frontmatter metadata for a Markdown knowledge base?

Enforced frontmatter metadata is needed when maintaining a persistent, interlinked knowledge base that requires provenance tracking. It ensures structural consistency across cross-referenced wiki pages as your knowledge archive grows with ingested sources.