llm-wiki

Name: llm-wiki
Availability: InStock
Author: DifanaDAP

Builds and maintains an interlinked markdown knowledge base from various document types.

Updated Apr 29, 2026

Search Tags:#markdown #research #data synthesis #knowledge-base #markdown knowledge base

Ready to run

npx skills add https://github.com/DifanaDAP/hermes-backup --skill llm-wiki-difanadap

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/DifanaDAP/hermes-backup/tree/main/workspace/skills/research/llm-wiki
Command: npx skills add https://github.com/DifanaDAP/hermes-backup --skill llm-wiki-difanadap

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

llm-wiki addresses the challenge of building and maintaining a structured, interlinked knowledge base from various sources, allowing for efficient information organization and retrieval.

Core Features & Use Cases

Knowledge Base Creation: Build a comprehensive, interlinked markdown KB by curating sources and creating structured markdown files.
Data Ingestion: Ingest and process various content types (articles, papers, transcripts) into the knowledge base.
Query and Synthesis: Answer questions using the compiled knowledge from the wiki and store substantial insights as new pages.

Quick Start

Initialize or add to your LLM Wiki by specifying the domain and running the skill with the desired sources.

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 linked markdown knowledge base from research papers and articles?▼

To build a linked markdown knowledge base, you need to ingest and process various document types like research papers and articles. The system synthesizes the data into structured markdown files with interlinked references.

What is the best way to synthesize information from multiple sources into a structured wiki?▼

The best way to synthesize information into a structured wiki is to ingest source materials and specify your domain. The system processes the content and outputs an interlinked collection of markdown files.

Can I query my compiled knowledge base and automatically store new insights as markdown files?▼

Yes, you can query your compiled knowledge base to answer questions using collected information. Substantial insights derived from these queries can be automatically stored as new markdown pages within the wiki.

How do I ingest and organize transcripts into an interlinked markdown knowledge base?▼

To ingest and organize transcripts into an interlinked markdown knowledge base, you provide the source transcripts and specify the domain. The system processes the transcripts and generates structured, linked markdown files.

What do I need to specify before creating a dynamic markdown knowledge base?▼

Before creating a dynamic markdown knowledge base, you need to specify the domain and provide the desired source materials. This user input initializes the wiki and guides the data synthesis process.