llm-wiki

Construct and maintain interlinked markdown knowledge bases with automated summarization and cross-referencing.

7|Updated Mar 26, 2026

Search Tags:#markdown #collaboration #research #knowledge management #knowledge base

Ready to run

npx skills add https://github.com/kzinmr/ai-topics --skill llm-wiki-kzinmr

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/kzinmr/ai-topics/tree/main/config/hermes/skills/_overrides/llm-wiki
Command: npx skills add https://github.com/kzinmr/ai-topics --skill llm-wiki-kzinmr

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need to build and maintain a persistent, compounding knowledge base with interlinked markdown files.

Core Features & Use Cases

Persistent Knowledge Base: Compile and keep knowledge current with interlinked markdown files.
Agent-Curated: Human curates sources while the agent summarizes, cross-references, and maintains consistency.
Use Case: Create a comprehensive knowledge base on AI and machine learning topics, with the ability to easily update and cross-reference information.

Quick Start

Use the llm-wiki skill to create a new knowledge base for AI research.

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 for research?▼

You build an interlinked markdown knowledge base by compiling markdown files into a persistent structure where an agent summarizes sources, cross-references data, and maintains semantic linking for domain-specific research.

What is the best way to automate cross-referencing in a markdown knowledge base?▼

Automating cross-referencing in a markdown knowledge base uses an agent-curated workflow where humans provide sources and the agent automatically summarizes content, establishes semantic links, and maintains consistency across files.

Can I use an agent to summarize and update existing markdown knowledge management files?▼

Yes, you can use an agent to summarize and update existing markdown knowledge management files by having the agent process your curated sources, automatically refresh outdated information, and maintain cross-references.

Does collaborative knowledge management work with interlinked markdown files?▼

Collaborative knowledge management works with interlinked markdown files by allowing human curators to manage source selection while the agent handles automated summarization, semantic linking, and consistency maintenance.

What are the limitations of agent-curated knowledge bases using markdown?▼

Limitations of agent-curated markdown knowledge bases include the reliance on human curation for initial sources and the requirement for continuous markdown file manipulation to maintain accurate semantic linking and cross-references.