How is the quiz structured?

The quiz consists of three stages: Basic (core insights), Intermediate (connecting concepts), and Advanced (detailed analysis and application), with three questions per stage.

How does YouTube Digest handle technical terms?

The skill performs a web search based on the video title and channel to identify the correct spelling of proper nouns and technical terms, then automatically corrects errors commonly found in auto-generated transcripts.

What happens in Deep Research mode?

If selected, the skill executes multiple parallel web searches to find case studies, research papers, and additional context related to the video, appending a dedicated research section to the generated document.

What languages does it support for translation?

It is optimized for Korean and English, prioritizing manual subtitles over auto-generated ones to ensure the highest translation quality.

Do I need to install yt-dlp?

Yes, this skill relies on yt-dlp being available in your environment to handle the extraction of video metadata and transcript files.

YouTube Digest

Name: YouTube Digest
Author: team-attention

byteam-attention

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학습 및 문서화

Analyzes YouTube videos to generate comprehensive summaries, insights, and interactive learning quizzes.

소개

YouTube Digest is a specialized Claude Code skill designed for power users who want to transform video content into structured knowledge. It automates the extraction of metadata and transcripts using yt-dlp, performs web-based context searches to correct technical jargon and proper nouns, and generates high-quality Markdown summaries with Korean translations. Beyond simple summarization, it facilitates deep learning through a three-stage interactive quiz system and offers a 'Deep Research' mode that expands on video topics through parallel web analysis, making it an essential tool for researchers, students, and lifelong learners.

주요 기능

Interactive 3-stage learning quizzes (9 questions) with progressive difficulty and detailed explanations
Deep Research workflow for expanding video topics through parallel web searches and data synthesis
83 GitHub stars
Automated transcript extraction and metadata collection via yt-dlp integration
Structured Markdown report generation with summaries, insights, and full translations
Context-aware transcript correction using web search to verify proper nouns and technical terms

사용 사례

Synthesizing long technical talks or industry tutorials into structured study notes
Conducting deep-dive research by combining video insights with broader web-based context
Validating comprehension of educational content through automated testing and feedback

소개

주요 기능

Interactive 3-stage learning quizzes (9 questions) with progressive difficulty and detailed explanations
Deep Research workflow for expanding video topics through parallel web searches and data synthesis
83 GitHub stars
Automated transcript extraction and metadata collection via yt-dlp integration
Structured Markdown report generation with summaries, insights, and full translations
Context-aware transcript correction using web search to verify proper nouns and technical terms

사용 사례

Synthesizing long technical talks or industry tutorials into structured study notes
Conducting deep-dive research by combining video insights with broader web-based context
Validating comprehension of educational content through automated testing and feedback