llm-wiki

Distill AI knowledge into an Obsidian-compatible wiki with provenance tracking.

Updated Aug 27, 2026

Search Tags:#provenance #obsidian #knowledge-management #wikilinks #knowledge-distillation #llm-wiki

Ready to run

npx skills add https://github.com/samuelcastro/noter --skill llm-wiki-samuelcastro

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/samuelcastro/noter/tree/main/.agents/skills/llm-wiki
Command: npx skills add https://github.com/samuelcastro/noter --skill llm-wiki-samuelcastro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Distill and maintain a persistent, compounding knowledge base for AI knowledge using an Obsidian-compatible wiki.

Core Features & Use Cases

Persistent, compiled knowledge artifact that remains current without re-derivation on every query.
Three-layer architecture: Layer 1 Raw Sources; Layer 2 The Wiki; Layer 3 The Schema.
Cross-linking, provenance, and human-LLM collaboration for long-term knowledge management.

Quick Start

Install the wiki schema and run the ingest workflow to distill your first source into the Obsidian vault.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema

How do I maintain a persistent knowledge base without re-deriving context on every query?▼

An Obsidian-compatible wiki with a three-layer architecture maintains a persistent knowledge base. It organizes raw sources, a compiled wiki, and schema to preserve context and provenance, preventing the need for re-derivation on every query.

What is the three-layer architecture for AI knowledge distillation?▼

The three-layer architecture for knowledge distillation organizes information into Layer 1 Raw Sources, Layer 2 The Wiki, and Layer 3 The Schema. This structure enables cross-linking and provenance tracking for long-term human-LLM collaboration.

How do I set up an Obsidian wiki with LLM-generated knowledge?▼

Set up an Obsidian wiki with LLM knowledge by installing the wiki schema and running the ingest workflow. This process distills raw sources into the Obsidian vault using markdown with wikilinks and provenance tracking.

Does this knowledge management approach support provenance tracking and wikilinks?▼

Yes, provenance tracking and wikilinks are supported within the Obsidian markdown wiki structure. This enables cross-linking across raw sources, the compiled wiki, and the schema for long-term knowledge management.

What is the best way to structure raw sources and schema for a compounding AI wiki?▼

Structure a compounding AI wiki using a three-layer architecture that separates raw sources, the compiled wiki, and the schema. This design strategically organizes knowledge and maintains provenance for persistent human-LLM collaboration.