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.