extract-knowledge

Extract key ideas, insights, and recommendations from user-provided content.

3|Updated Mar 4, 2026

Search Tags:#pdf #insights #articles #transcripts #extract #content-analysis

Ready to run

npx skills add https://github.com/jwm-axoni/auggie-pai --skill extract-knowledge

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: extract-knowledge
Source: https://github.com/jwm-axoni/auggie-pai/tree/main/skills/extract-knowledge
Command: npx skills add https://github.com/jwm-axoni/auggie-pai --skill extract-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep content analysis to surface novel, non-obvious insights and key ideas from user-provided content (articles, transcripts, documents, videos, PDFs), prioritizing novelty over basic summation.

Core Features & Use Cases

Deep content analysis to identify alpha and surprising insights beyond surface summaries.
Structured extraction output including key ideas, surprising insights, mental models, actionable recommendations, quotes, and connections.
Use Case: researchers, analysts, students, and knowledge workers who need high-signal insights from long-form content.

Quick Start

Provide the content you want analyzed (article, transcript, video, PDF, or pasted text) to extract key insights.

Frequently Asked Questions about extract-knowledge

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

FAQPage Schema

How do I extract novel insights from a PDF or article instead of just getting a summary?▼

To extract novel insights from a PDF or article, you need deep content analysis that prioritizes non-obvious alpha over basic summarization. This process surfaces key ideas, mental models, and surprising takes from long-form material.

What is the best way to analyze transcripts and videos for key ideas and actionable recommendations?▼

Analyzing transcripts and videos for key ideas requires a structured extraction process that identifies actionable recommendations and surprising insights. This method outputs structured artifacts including quotes and connections from the source material.

Can I use content analysis tools to find mental models and surprising takes from research documents?▼

Yes, you can use content analysis to find mental models and surprising takes from research documents. The extraction process targets high-signal insights and connections specifically for researchers and knowledge workers needing deep understanding.

Do I need WebFetch and claude-browser MCP to extract knowledge from pasted text?▼

You do not need WebFetch and claude-browser MCP to extract knowledge from pasted text, but they are required to access external articles, transcripts, or PDFs. The Read tool is also used to process the provided content material.

How does deep content analysis differ from basic summarization for long-form articles?▼

Deep content analysis differs from basic summarization by prioritizing novelty and extracting alpha from long-form articles. It generates structured artifacts like mental models, connections, and actionable recommendations instead of just restating the main points.