content-analysis

Extract key insights and wisdom domains from videos, podcasts, interviews, and articles.

7|2|Updated Nov 30, 2025

Search Tags:#content analysis #insight extraction #video transcription #key takeaways #wisdom domains #depth-level reporting #quotes and revelations

Ready to run

npx skills add https://github.com/ajbmachon/ajbm-skills --skill content-analysis-ajbmachon

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: content-analysis
Source: https://github.com/ajbmachon/ajbm-skills/tree/main/plugins/development-skills/skills/content-analysis
Command: npx skills add https://github.com/ajbmachon/ajbm-skills --skill content-analysis-ajbmachon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It turns videos, podcasts, interviews, and articles into tailored insight reports by detecting which wisdom domains are actually present instead of forcing static templates.

Core Features & Use Cases

Content-adaptive sectioning: Builds custom sections around the real themes and insight types found in the source.
Depth-controlled extraction: Produces Instant, Fast, Basic, Full, or Comprehensive outputs with matching structure and closing sections.
Opinionated, insight-first bullets: Outputs conversational bullets that emphasize what would make a sharp reader stop and think.
Quality-checked framing: Uses explicit rules to avoid inventory summaries, hedging, and low-signal bullets.

Quick Start

Use the content-analysis skill to extract wisdom from the YouTube transcript you provide at full depth.

Frequently Asked Questions about content-analysis

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

FAQPage Schema

How do I extract key takeaways from a YouTube video transcript?▼

To extract key takeaways from a video transcript, you need an insight extraction tool that dynamically detects wisdom domains in the source. This approach builds custom sections around real themes, producing opinionated, insight-first bullets rather than neutral summaries.

What is the best way to get contrarian takeaways from a podcast?▼

Getting contrarian takeaways from a podcast requires content analysis that emphasizes what makes a sharp reader stop and think. It applies explicit quality rules to avoid inventory summaries, hedging, and low-signal bullets.

Can I generate depth-level reports from an interview transcript?▼

You can generate depth-level reports from an interview transcript by applying depth-controlled extraction. This produces Instant, Fast, Basic, Full, or Comprehensive outputs with matching structures and required closing sections.

How does content analysis handle articles with mixed or unclear themes?▼

Content analysis handles mixed themes by using content-adaptive sectioning. It builds custom sections around the actual themes and insight types found in the source instead of forcing static templates.

Why do my content summaries look like vague inventories?▼

Content summaries look like vague inventories when they lack quality-checked framing. Using an extraction method with explicit rules prevents vague, inventory-style results and hedging, ensuring high-signal conversational bullets.