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JustineJiao
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llm-wiki

Organize web pages, PDFs, and local files into structured wiki pages.

4|2|Updated May 19, 2026
Search Tags:#knowledge management#knowledge base#AI#research assistance#information organization
One-click install
npx skills add https://github.com/JustineJiao/llm-wiki-skill --skill llm-wiki-justinejiao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/JustineJiao/llm-wiki-skill/tree/main
Command: npx skills add https://github.com/JustineJiao/llm-wiki-skill --skill llm-wiki-justinejiao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, node.js, workbuddy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the creation and maintenance of personal knowledge bases, transforming fragmented information into a structured, interconnected knowledge repository.

Core Features & Use Cases

  • Material Ingestion: Automatically digest a variety of sources including web pages, PDFs, WeChat articles, and local files.
  • Knowledge Compilation: AI-driven analysis and organization of information into structured wiki pages.
  • Query and Reporting: Efficiently query the knowledge base and generate deep insights and reports.
  • Collaboration: Enable collaboration and review by handling uncertain information through the Review Items mechanism.
  • Use Case: Imagine you are researching a new technology. Use this Skill to gather information from various sources, organize it into a coherent knowledge base, and generate a comprehensive report on the technology's development and potential impact.

Quick Start

Use the llm-wiki skill to initiate a new knowledge base with the command "Start a new knowledge base on 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 a personal knowledge base from fragmented sources like PDFs and web pages?▼

You can build a personal knowledge base by ingesting fragmented sources like PDFs, web pages, and WeChat articles into structured wiki pages. This tool uses AI to automatically analyze, process, and organize diverse information types into a coherent, interconnected repository.

Do I need Python and Node.js to use this AI knowledge management tool?▼

Yes, you need Python and Node.js installed to run this knowledge management tool. It also requires the WorkBuddy platform to execute its AI-driven analysis, compile information into structured wiki pages, and facilitate collaboration.

How can I generate research reports from my existing knowledge base?▼

You can generate research reports by querying your compiled knowledge base. The tool efficiently processes queries to extract deep insights and generate comprehensive reports from the structured wiki pages you have built.

What is the best way to handle uncertain information during knowledge base collaboration?▼

The best way to handle uncertain information during collaboration is through the Review Items mechanism. This feature enables users to flag, review, and resolve questionable information within the structured wiki pages.

Can I organize local files and WeChat articles into structured wiki pages?▼

Yes, you can organize local files and WeChat articles into structured wiki pages. The material ingestion feature automatically digests these diverse document types and compiles them into an interconnected knowledge repository.

How do I start a new knowledge base on a specific research topic?▼

To start a new knowledge base on a specific research topic, use the command "Start a new knowledge base on [your topic]". The tool will then initialize the repository for you to gather and organize information.

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