ExtractWisdom

Extract high-signal insights and quotes from long-form content.

Updated Jun 1, 2026
One-click install
npx skills add https://github.com/atro2829-hub/APPLE-NET-NEW --skill extractwisdom-atro2829-hub
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ExtractWisdom
Source: https://github.com/atro2829-hub/APPLE-NET-NEW/tree/main/skills/contentanalysis/ExtractWisdom
Command: npx skills add https://github.com/atro2829-hub/APPLE-NET-NEW --skill extractwisdom-atro2829-hub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns long-form content into dynamic wisdom extracts that adapt to what is actually in the source, instead of forcing fixed summary buckets onto everything.

Core Features & Use Cases

  • Adaptive Sectioning: Detects the real insight domains in a video, podcast, interview, or article and builds sections around them.
  • High-Signal Extraction: Pulls out specific quotes, contrarian takes, first-time revelations, and practical lessons that are worth sharing.
  • Depth Control: Supports fast skim-level outputs, full extractions, and comprehensive deep dives depending on how much detail you need.
  • Use Case: A user can hand it a YouTube interview and get a conversational report with customized headings, strong takeaways, and references worth exploring.

Quick Start

Extract wisdom from this podcast transcript and give me a full dynamic insight report.

Frequently Asked Questions about ExtractWisdom

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

FAQPage Schema
How do I extract key insights from a long podcast transcript without missing important context?

You can extract wisdom from long-form content by applying dynamic section selection that identifies real insight domains instead of fixed templates. This approach captures high-signal quotes, contrarian takes, and practical lessons while tailoring output depth to your specific needs.

What is the best way to summarize a YouTube video interview beyond a generic overview?

The best way to summarize a YouTube interview is using adaptive sectioning that detects real insight domains and builds customized sections around them. This captures specific quotes, first-time revelations, and practical lessons rather than forcing fixed summary buckets onto the content.

Can I control the depth of content analysis when processing long-form articles?

Yes, you can control content analysis depth using depth-aware output formatting. This supports fast skim-level outputs, full dynamic extractions, and comprehensive deep dives, allowing you to specify exactly how much detail you need from your long-form articles.

Does dynamic wisdom extraction work with both video and written content formats?

Dynamic wisdom extraction works with videos, podcasts, interviews, and articles. It applies adaptive sectioning to identify the real insight domains present in the source, ensuring the output formatting is tailored to the specific content format being analyzed.

When should I avoid using fixed summary templates for content analysis?

You should avoid fixed summary templates when analyzing long-form content where important material is missed. Fixed templates fail to capture contrarian takes, first-time revelations, and specific quotes, whereas dynamic section selection adapts to the source's actual insight domains.