yt-research

Convert YouTube URLs into structured Obsidian notes with transcripts and summaries.

Updated Jun 23, 2026

Search Tags:#information extraction #video analysis #YouTube #summary generation #research tool

Ready to run

npx skills add https://github.com/guideops/agentic-shared --skill yt-research-guideops

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: yt-research
Source: https://github.com/guideops/agentic-shared/tree/main/skills/yt-research
Command: npx skills add https://github.com/guideops/agentic-shared --skill yt-research-guideops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yt-dlp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of efficiently extracting information from YouTube videos, transforming them into a structured and actionable research note.

Core Features & Use Cases

YouTube to Obsidian: Converts YouTube URLs into structured Obsidian notes, automatically saving them to a designated research folder.
Transcript Extraction: Fetches video transcripts and generates summaries, key points, quotes, and action items.
Use Case: For research on emerging technologies, quickly summarize recent YouTube presentations to keep up with the latest trends.

Quick Start

Summarize this YouTube video [https://www.youtube.com/watch?v=<video_id>].

Frequently Asked Questions about yt-research

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

FAQPage Schema

How do I extract transcripts and summaries from YouTube videos for research?▼

To extract YouTube video transcripts and summaries, convert the video URL into structured notes that fetch the transcript and generate key points, quotes, and action items automatically. This provides actionable research insights from video content.

What is the best way to convert a YouTube video into structured Obsidian notes?▼

The best way to convert YouTube videos into structured Obsidian notes is passing the URL to generate a summary, which saves directly to a designated research folder with extracted transcripts and actionable insights.

Do I need yt-dlp and Python to analyze YouTube videos?▼

Yes, you need yt-dlp and Python for text processing and summary generation to analyze YouTube videos. These dependencies fetch video data and automate the extraction of transcripts and key points.

Can I automate action item extraction from a YouTube video URL?▼

Yes, you can automate action item extraction from a YouTube video URL. The process parses the URL to fetch transcripts and generates structured notes containing summaries, key points, quotes, and action items.

Does yt-research work with long YouTube presentations for trend research?▼

Yes, yt-research works with long YouTube presentations for trend research. It summarizes recent YouTube presentations by extracting transcripts and generating structured notes to keep up with emerging technologies.

What are the limitations of using yt-dlp for YouTube transcript extraction?▼

A limitation of using yt-dlp for YouTube transcript extraction is that videos lacking closed captions or subtitles will not yield text for summary generation, preventing the creation of structured research notes.