llm-wiki

Construct and maintain an Obsidian knowledge base with a three-layer architecture.

Updated Jul 13, 2026
One-click install
npx skills add https://github.com/Abulfadl-Ahmadi/Experimental-Physics-Spring-2026 --skill llm-wiki-abulfadl-ahmadi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/Abulfadl-Ahmadi/Experimental-Physics-Spring-2026/tree/main/.skills/llm-wiki
Command: npx skills add https://github.com/Abulfadl-Ahmadi/Experimental-Physics-Spring-2026 --skill llm-wiki-abulfadl-ahmadi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of building and maintaining an AI-powered Obsidian wiki, providing a structured framework for knowledge distillation and management.

Core Features & Use Cases

  • Three-Layer Architecture: Manages raw sources, the compiled wiki, and the schema rules.
  • Ingestion & Curation: Efficiently ingests and curates new sources into the wiki.
  • Query & Retrieval: Enables powerful querying and retrieval of knowledge from the wiki.
  • Use Case: For a researcher setting up a comprehensive knowledge base on a new topic, this Skill automates the process of ingesting papers, creating summaries, and organizing the information into a coherent structure.

Quick Start

Set up your new Obsidian wiki using the llm-wiki skill and follow the three-layer architecture to organize your knowledge base.

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 AI-powered Obsidian wiki for knowledge distillation?

Build an AI-powered Obsidian wiki by using a three-layer architecture to manage raw sources, curated wiki content, and schema rules. This framework streamlines knowledge distillation and automates the ingestion of information into a coherent structure.

What is the best way to organize raw sources and curated content in Obsidian?

Organize raw sources and curated content in Obsidian by implementing a three-layer architecture. This structure separates source ingestion, distilled wiki information, and schema rules to ensure robust organization and efficient data retrieval.

Can I automate ingesting research papers into an Obsidian knowledge base?

Yes, you can automate ingesting research papers into an Obsidian knowledge base. The system handles source ingestion and curation, automatically creating summaries and organizing the distilled information into a structured wiki.

Does this knowledge management approach support querying and retrieving distilled information?

This knowledge management approach supports querying and retrieving distilled information. The structured Obsidian wiki enables powerful data retrieval from the compiled knowledge base following the three-layer architecture.

Do I need a specific schema to maintain an AI-powered Obsidian wiki?

You need a specific schema to maintain an AI-powered Obsidian wiki. The three-layer architecture explicitly includes a schema rules layer alongside raw sources and curated wiki content to ensure robust organization and efficient information retrieval.

Why use a three-layer architecture for Obsidian knowledge management?

Use a three-layer architecture for Obsidian knowledge management to separate raw sources, compiled wiki content, and schema rules. This separation ensures robust organization, supports efficient knowledge distillation, and enables powerful data retrieval.