llm-wiki

Maintain an interconnected markdown knowledge base with schemas, cross-references, and provenance tracking.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/Gitnapp/Skills --skill llm-wiki-gitnapp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/Gitnapp/Skills/tree/main/research/llm-wiki
Command: npx skills add https://github.com/Gitnapp/Skills --skill llm-wiki-gitnapp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of scattered research notes and repeated rediscovery by helping maintain a persistent, interconnected markdown knowledge base that compounds over time.

Core Features & Use Cases

  • Knowledge Base Creation: Creates and structures wiki directories with schemas, indexes, logs, and linked markdown pages for organized research.
  • Source Ingestion and Maintenance: Processes articles, papers, transcripts, and notes while preserving provenance, updating existing knowledge, and maintaining consistency.
  • Wiki Auditing and Querying: Supports health checks, broken link detection, contradiction tracking, and synthesis of answers from existing knowledge pages.

Quick Start

Use the llm-wiki skill to create a research wiki for my AI and machine learning notes and organize future sources into it.

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 notes?

Build a markdown knowledge base by creating structured wiki directories with schemas, indexes, and linked pages to organize and synthesize research notes that compound over time.

What is the best way to organize scattered research notes into an interconnected wiki?

The best way to organize scattered research notes is using a schema-driven wiki with cross-references and provenance tracking to maintain a persistent, interconnected knowledge repository.

How does source ingestion work for a markdown research wiki?

Source ingestion processes articles, papers, transcripts, and notes while preserving provenance, updating existing knowledge, and maintaining consistency across the markdown knowledge base.

Can I detect broken links and contradictions in my research knowledge base?

Yes, you can detect broken links and contradictions by running wiki health checks and audits that track validation practices and monitor evolving information repositories.

Does a markdown wiki support long-term research workflows with evolving information?

Yes, a markdown wiki supports long-term research workflows by applying schema-driven organization, cross-references, provenance tracking, and validation practices to manage evolving information repositories.

When should I use a schema-driven markdown wiki over standard note-taking?

Use a schema-driven markdown wiki when you need to synthesize answers from existing pages, preserve source provenance, and prevent repeated rediscovery in long-term research workflows.