extract-wisdom

Extract ideas, insights, quotes, habits, and references from text content.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/Eric-Pacheco95/claude-workbench --skill extract-wisdom-eric-pacheco95
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: extract-wisdom
Source: https://github.com/Eric-Pacheco95/claude-workbench/tree/main/.claude/skills/extract-wisdom
Command: npx skills add https://github.com/Eric-Pacheco95/claude-workbench --skill extract-wisdom-eric-pacheco95

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users extract meaningful ideas, insights, quotes, habits, and references from any given text content.

Core Features & Use Cases

  • Wisdom Extraction: Specializes in finding surprising, insightful, and interesting information from text content.
  • Modes: Offers both full wisdom extraction and concise summarization modes.
  • Use Case: Ideal for summarizing research findings, extracting key points from long-form content, or gaining actionable insights from articles and reports.

Quick Start

Use the /extract-wisdom command followed by the content you want to analyze.

Frequently Asked Questions about extract-wisdom

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

FAQPage Schema
How do I extract insights and key points from long-form text?

To extract insights from long-form text, you can use a wisdom extraction tool that parses articles or transcripts to output structured ideas, quotes, and references. It identifies surprising information and provides a formatted summary.

Can I summarize research findings and transcripts automatically?

Yes, you can automatically summarize research findings and transcripts by running the content through a summarization mode. This process extracts the most valuable information and condenses it into actionable insights without manual reading.

What is the best way to pull quotes and habits from an essay?

The best way to pull quotes and habits from an essay is to use an information extraction process that scans the text for specific patterns. It structures the output into categories like habits, quotes, and references for easy review.

Does content summarization work for both full extraction and concise summaries?

Content summarization supports both full extraction and concise summarization modes. Full extraction captures all ideas and references, while concise mode distills the text down to only the most actionable and insightful points.

What types of content can I use for information extraction?

Information extraction handles various content types, specifically articles, essays, and transcripts. It processes these text formats to generate structured output containing ideas, insights, quotes, habits, and references.

How do I get structured ideas and references from unstructured text?

To get structured ideas from unstructured text, apply an insight generation process that categorizes extracted information. This transforms raw articles or reports into organized lists of habits, quotes, and references.