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.