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ProfEullerBarros
ProfEullerBarrosCOMMUNITY
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youtube-research

Extract insights from YouTube metadata, captions, and transcripts into Markdown notes.

1|Updated May 18, 2026
Search Tags:#automation#reports#research#youtube#notes#transcripts#rss
One-click install
npx skills add https://github.com/ProfEullerBarros/openclaw-youtube-research-skill --skill youtube-research-profeullerbarros
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: youtube-research
Source: https://github.com/ProfEullerBarros/openclaw-youtube-research-skill/tree/main
Command: npx skills add https://github.com/ProfEullerBarros/openclaw-youtube-research-skill --skill youtube-research-profeullerbarros

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Solves the challenge of researching YouTube by using public metadata and transcripts instead of treating videos as primary sources.

Core Features & Use Cases

  • Analyze a single YouTube video using available captions/transcripts to generate concise notes.
  • Monitor channels via public RSS feeds and filter videos by topics and keywords.
  • Generate Markdown notes and recurring research reports, clearly marking unverified claims.
  • Configure per-user channels, languages, output folders, and schedules for automated briefings.

Quick Start

Create a local config file with channels and languages, then run the skill to fetch transcripts and generate notes and reports.

Frequently Asked Questions about youtube-research

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

FAQPage Schema
How do I extract transcripts and notes from a YouTube video for research?▼

To extract YouTube transcripts for research, analyze a single video using available captions to generate concise Markdown notes. This process separates verified facts from inferences and records sources to maintain research safety.

Can I monitor YouTube channels automatically using RSS feeds?▼

Yes, you can monitor YouTube channels automatically via public RSS feeds. Configure per-user channels, languages, and schedules to filter videos by topics and keywords, generating recurring research briefings.

Do I need yt-dlp to generate YouTube research reports?▼

Yes, yt-dlp is a required dependency to fetch public metadata and transcripts. It provides the underlying data extraction needed to generate structured Markdown notes and recurring research reports.

How do I automate recurring YouTube briefings and filter videos by keywords?▼

Automate recurring YouTube briefings by creating a local config file with target channels, languages, and output paths. The skill filters monitored RSS feed videos by configured keywords to generate scheduled reports.

What is the best way to separate verified facts from inferences in YouTube transcripts?▼

The best way to separate verified facts from inferences in YouTube transcripts is using a research workflow that enforces safety. It clearly marks unverified claims and records original sources within structured Markdown notes.

Are there limitations to researching YouTube videos using public metadata instead of primary sources?▼

When researching YouTube with public metadata instead of primary sources, limitations include reliance on available captions or transcripts. The workflow mitigates this by separating verified facts from inferences and marking unverified claims.

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