intake_youtube

Convert YouTube videos into structured notes via NotebookLM summaries or markitdown subtitle extraction.

1|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/JoNaYeon/claude-code-skills --skill intake-youtube
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intake_youtube
Source: https://github.com/JoNaYeon/claude-code-skills/tree/main/intake/intake_youtube
Command: npx skills add https://github.com/JoNaYeon/claude-code-skills --skill intake-youtube

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

YouTube videos cannot be processed directly by the AI, so this Skill provides a structured intake flow that converts video content into concise, shareable notes using two pathways: NotebookLM-based summaries and markitdown-derived subtitles.

Core Features & Use Cases

  • NotebookLM-based intake: Accepts pasted NotebookLM summaries; enforces the [2차요약] tag to indicate non-original sources and applies secondary source quality.
  • markitdown-based extraction: When a YouTube URL is provided, attempts to extract subtitles via markitdown and treat them as primary source material; falls back to NotebookLM when subtitles are unavailable.
  • Use Case: A researcher quickly converts a video into a structured intake note suitable for archives, citations, or knowledge bases.

Quick Start

Paste a NotebookLM summary with a [2차요약] tag to process secondary content, or provide a YouTube URL to auto-extract subtitles via markitdown for primary content.

Frequently Asked Questions about intake_youtube

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

FAQPage Schema
How do I convert YouTube video content into structured notes for research?

You can convert YouTube content into structured notes by providing a URL for automatic subtitle extraction via markitdown, or by pasting a NotebookLM summary tagged with [2차요약] for secondary source intake.

What is the difference between primary and secondary YouTube video summarization?

Primary YouTube video summarization extracts original subtitles directly via markitdown from a URL, whereas secondary summarization processes pre-existing NotebookLM summaries tagged with [2차요약].

Does YouTube subtitle extraction work when a video has no captions available?

YouTube subtitle extraction relies on markitdown to fetch available captions; if subtitles are unavailable, the workflow falls back to processing NotebookLM summaries to generate your notes.

Can I use NotebookLM summaries as input for my knowledge management workflow?

Yes, you can use NotebookLM summaries for your knowledge management workflow by pasting them with a [2차요약] tag, which processes the content as a secondary source with appropriate quality metadata.

What's the best way to archive YouTube video research for citations?

The best way to archive YouTube video research for citations is extracting subtitles via markitdown from the video URL to create primary source notes, ensuring you have original material suitable for your knowledge bases.