llm-wiki

Name: llm-wiki
Availability: InStock
Author: eliottbusiness

Build and maintain interlinked markdown knowledge bases with cross-references.

Updated May 3, 2026

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

Ready to run

npx skills add https://github.com/eliottbusiness/DeptFlow-Agent --skill llm-wiki-eliottbusiness

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/eliottbusiness/DeptFlow-Agent/tree/main/profile/skills/research/llm-wiki
Command: npx skills add https://github.com/eliottbusiness/DeptFlow-Agent --skill llm-wiki-eliottbusiness

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of creating and maintaining a persistent, compounding knowledge base, allowing users to build and query an interlinked markdown knowledge base.

Core Features & Use Cases

Persistent Knowledge Base: Build and maintain a knowledge base that compiles knowledge once and keeps it current.
Interlinked Markdown: Organize knowledge in markdown files with cross-references and contradictions flagged.
Human-AI Collaboration: Curate sources and direct analysis, while the agent summarizes, cross-references, and maintains consistency.
Use Case: Ideal for researchers, students, or anyone needing to compile and reference a large body of information across various domains.

Quick Start

Use the llm-wiki skill to create a new knowledge base for AI research and add the latest paper on Transformer architectures.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema

How do I build a persistent markdown knowledge base for research?▼

A markdown knowledge base organizes information into interlinked files with cross-references and flagged contradictions. It supports human-AI collaboration by having the agent summarize and maintain consistency while you curate sources.

Can I use AI to summarize and cross-reference markdown files?▼

Yes, this approach supports human-AI collaboration where the agent summarizes, cross-references, and maintains consistency across markdown files. You curate sources and direct analysis while the AI handles knowledge management tasks.

What is the best way to maintain an interlinked knowledge base across multiple domains?▼

Maintaining an interlinked knowledge base across domains requires markdown files with cross-references and contradiction flagging. This compounding approach organizes information once and keeps it current through persistent human-AI curation.

Does this knowledge management approach flag contradictions in research sources?▼

Yes, this knowledge management approach flags contradictions in research sources. It organizes knowledge in interlinked markdown files and cross-references sources to maintain consistency across your compiled information.

How do I query an interlinked markdown knowledge base?▼

You query an interlinked markdown knowledge base by searching across compiled markdown files with cross-references. The persistent system allows you to reference a large body of information across various domains.

When do I need a compounding knowledge base for education and research?▼

You need a compounding knowledge base when compiling and referencing a large body of information across various domains. It is ideal for researchers, students, or anyone needing persistent knowledge management with interlinked markdown files.