Extract key ideas, insights, and recommendations from user-provided content.
npx skills add https://github.com/jwm-axoni/auggie-pai --skill extract-knowledge
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
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.
Provide the content you want analyzed (article, transcript, video, PDF, or pasted text) to extract key insights.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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