llm-wiki

Organize research sources into an interconnected markdown knowledge base with provenance tracking.

9|Updated Jun 11, 2026
One-click install
npx skills add https://github.com/llm011/ethan-agent --skill llm-wiki-llm011
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/llm011/ethan-agent/tree/main/ethan/defaults/skills/llm-wiki
Command: npx skills add https://github.com/llm011/ethan-agent --skill llm-wiki-llm011

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents research notes and source material from becoming a disconnected, duplicate-filled archive by organizing them into a persistent, searchable, and interconnected markdown knowledge base.

Core Features & Use Cases

  • Wiki Initialization: Create a structured wiki with schema, index, activity log, raw sources, entities, concepts, comparisons, and query archives.
  • Research Ingestion and Synthesis: Capture sources, extract key information, update existing pages, add cross-references, preserve provenance, and track source changes.
  • Query and Quality Management: Answer questions from the wiki and audit broken links, orphan pages, missing index entries, stale content, contradictions, weak confidence signals, and taxonomy violations.
  • Use Case: When researching AI systems across articles and papers, use this Skill to ingest sources, consolidate recurring entities and concepts, link related findings, and file valuable analyses for future retrieval.

Quick Start

Use the llm-wiki skill to initialize or update my knowledge base from the research source I provide, following its schema and recording all changes.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema
How do I organize research sources into an interconnected markdown knowledge base?

Organize research sources into an interconnected markdown knowledge base by ingesting raw materials, extracting entities and concepts, and applying schema-driven page creation with cross-references. The wiki tracks provenance and validates links to prevent disconnected, duplicate-filled archives.

What is the best way to manage an Obsidian-compatible research wiki over time?

Manage an Obsidian-compatible research wiki over time by running regular wiki audits. The system detects source drift, broken cross-links, orphan pages, stale content, and weak confidence signals, appending all changes to an activity log to ensure long-term consistency.

Can I query my existing knowledge base and consolidate recurring entities from new papers?

Query your knowledge base and consolidate recurring entities from new papers through research ingestion and synthesis. The system captures new sources, extracts key information, updates existing pages, adds cross-references, and preserves provenance for future retrieval.

Does this knowledge management approach require a specific wiki schema initialization?

Wiki initialization requires creating a structured schema with an index, activity log, raw sources, entities, concepts, comparisons, and query archives. This structured setup enforces taxonomy compliance and enables consistent source ingestion and cross-link validation from the start.

How do I detect contradictions and broken links in a markdown wiki?

Detect contradictions and broken links in a markdown wiki by performing automated quality audits. The system identifies broken cross-links, missing index entries, taxonomy violations, content contradictions, and weak confidence signals, logging all issues for correction.