ThinkWiki

Initialize and maintain a local Markdown knowledge base with automated inbox management.

30|5|Updated Jun 20, 2026
One-click install
npx skills add https://github.com/wzdavid/ThinkWiki --skill thinkwiki
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ThinkWiki
Source: https://github.com/wzdavid/ThinkWiki/tree/main
Command: npx skills add https://github.com/wzdavid/ThinkWiki --skill thinkwiki

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires markitdown, beautifulsoup4, markdownify, mammoth, cryptography, pdfminer-six, pdfplumber, pypdfium2, openpyxl, pandas, python-pptx, lxml, xlrd, and includes scripts (resource) components.

What problem does it solve?

ThinkWiki solves the problem of fragmented information by transforming scattered documents, web pages, and conversations into a structured, searchable, and browsable local Markdown knowledge base.

Core Features & Use Cases

  • Inbox-First Capture: Collect web clips, files, and notes into a dedicated inbox for review before formal ingestion.
  • Knowledge Graph Generation: Automatically build an interactive content knowledge graph that maps concepts, entities, and semantic relations.
  • Evidence-Based Q&A: Query your wiki to receive answers backed by specific evidence from your own documents.
  • Use Case: A researcher can clip multiple web articles into the inbox, ingest them into the wiki, and then ask the agent to generate a knowledge graph to visualize the relationships between the research topics.

Quick Start

Ask your agent to create a new local knowledge base named Research Wiki in your current workspace.

Frequently Asked Questions about ThinkWiki

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

FAQPage Schema
How do I build a local Markdown knowledge base from scattered notes and web clippings?▼

To build a local Markdown knowledge base, you can collect web clips, files, and notes into a dedicated inbox for review before ingesting them into a structured, searchable wiki workspace.

Can I generate a knowledge graph to visualize relationships between entities in my research documents?▼

Yes, you can generate an interactive knowledge graph to visualize relationships by automatically mapping concepts, entities, and semantic relations from your ingested Markdown documents.

How do I query my personal wiki and get answers backed by evidence from my own documents?▼

You can query your personal wiki using evidence-based question answering, which retrieves answers backed by specific evidence extracted directly from your local Markdown documents.

What do I need to set up a local Markdown wiki workspace with knowledge graph visualization?▼

You need Python 3 and local file system access to initialize the wiki workspace, manage the automated inbox, and generate the HTML-based navigation artifacts for knowledge graph visualization.

Does this knowledge base tool support ingesting files like PDFs, Excel spreadsheets, and PowerPoint presentations?▼

Yes, the knowledge base supports document ingestion from various formats including PDFs, Excel spreadsheets, and PowerPoint presentations using dependencies like pdfplumber, openpyxl, and python-pptx.