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YuJunZhiXue
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knowledge-absorber

Convert multi-source content into structured Markdown and HTML teaching notes.

596|41|Updated Jan 20, 2026
Search Tags:#markdown#html#mermaid#multi-source#ingestion#truth-anchoring#knowledge-notes
One-click install
npx skills add https://github.com/YuJunZhiXue/StudyAnalysis-Skills --skill knowledge-absorber
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-absorber
Source: https://github.com/YuJunZhiXue/StudyAnalysis-Skills/tree/main/knowledge-absorber
Command: npx skills add https://github.com/YuJunZhiXue/StudyAnalysis-Skills --skill knowledge-absorber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, html2text, python-docx, pypdf, rapidocr_onnxruntime, opencv-python-headless, Pillow, pywin32, DrissionPage, tqdm, rich, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill analyzes long documents, web pages, and code, and converts them into structured, teachable notes (Markdown + HTML) with built-in truth anchoring to identify outdated or disputed claims.

Core Features & Use Cases

  • Content Ingestion & Cleansing: fetches content from URLs or local files, cleans noisy HTML, and handles multi-modal inputs (PDFs, OCR, DOC/DOCX).
  • Truth Anchoring: extracts key claims, performs web audits to verify timeliness, and generates calibration notes to flag errors or outdated information.
  • Narrative Construction: builds a structured teaching article using a universal template, including Mermaid diagrams for visual workflow.
  • Dual-Mode Outputs: generates both Markdown and HTML artifacts suitable for knowledge bases and learning repositories.
  • Use Case: transform multi-source research into a reusable learning resource for novices and experts alike.

Quick Start

To use the skill, provide a URL or local document path. The system will ingest content, perform truth anchoring, construct a narrative, and output knowledge_{YYYYMMDD}{Title}.md and knowledge{YYYYMMDD}_{Title}.html.

Frequently Asked Questions about knowledge-absorber

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

FAQPage Schema
How do I convert web pages and PDFs into structured Markdown teaching notes?▼

To convert web pages and PDFs into structured Markdown teaching notes, you can ingest local files or URLs to automatically cleanse noisy HTML, extract claims via truth anchoring, and generate dual Markdown and HTML artifacts.

What is truth anchoring when extracting knowledge from long documents?▼

Truth anchoring is the process of extracting key claims from long documents and performing web audits to verify timeliness, generating calibration notes that flag outdated or disputed information in your knowledge notes.

Can I use this tool to ingest multi-source content like Word docs and codebases?▼

Yes, you can ingest multi-source content like Word docs and codebases. The system handles multi-modal inputs including PDFs, DOC, DOCX, and OCR processing to consolidate diverse materials into a single narrative.

Do I need Python 3.8 or higher to run the content ingestion scripts?▼

Yes, you need Python 3.8 or higher to run the content ingestion scripts. The project relies on specific dependencies listed in requirements.txt to handle content ingestion, truth anchoring, and narrative generation.

What is the best way to visualize workflows when creating knowledge notes from HTML?▼

The best way to visualize workflows when creating knowledge notes from HTML is using Mermaid diagrams. The narrative construction automatically builds a structured teaching article that includes these visual workflow diagrams.

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