yt-pipeline

Name: yt-pipeline
Availability: InStock
Author: chriswestt

Automate YouTube topic research with search, video selection, and NotebookLM analysis.

Updated Apr 21, 2026

Search Tags:#research #youtube #pipeline #notebooklm #video-analysis #topic-analysis #content-research

Ready to run

npx skills add https://github.com/chriswestt/claude-skills --skill yt-pipeline-chriswestt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: yt-pipeline
Source: https://github.com/chriswestt/claude-skills/tree/main/yt-pipeline
Command: npx skills add https://github.com/chriswestt/claude-skills --skill yt-pipeline-chriswestt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

End-to-end YouTube topic research that automates discovery, selection, and deep analysis to turn raw video data into structured insights and tangible deliverables.

Core Features & Use Cases

Automated YouTube search across multiple angles to maximize coverage and capture diverse perspectives.
Auto-selects top videos by relevance, engagement, recency, and source diversity to build a representative set.
NotebookLM-based analysis that synthesizes video metadata and transcripts to reveal trends, gaps, and actionable takeaways.
Deliverables support (podcast scripts, slide decks, reports, YouTube scripts) for dissemination and strategy.

Quick Start

Provide a topic to start the end-to-end YouTube research pipeline and an optional deliverable type, and it will return a structured analysis.

Frequently Asked Questions about yt-pipeline

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

FAQPage Schema

How do I automate end-to-end YouTube topic research and analysis?▼

To automate YouTube topic research, you provide a topic and optional deliverable type, triggering an end-to-end pipeline that searches videos, selects top content by relevance, and synthesizes transcripts into structured insights.

What is the best way to analyze YouTube video transcripts for content research?▼

The best way to analyze YouTube video transcripts for content research is using NotebookLM-based synthesis, which processes video metadata and transcripts to reveal trends, content gaps, and actionable takeaways across a representative video set.

Can I generate podcast scripts and slide decks from YouTube video research?▼

Yes, you can generate podcast scripts, slide decks, and reports from YouTube video research. The pipeline supports optional deliverables generation to turn synthesized video analysis into ready-to-use dissemination and strategy materials.

How does automated video selection work for YouTube topic analysis?▼

Automated video selection for YouTube topic analysis works by ranking videos based on relevance, engagement, recency, and source diversity, building a representative set to maximize coverage and capture diverse perspectives.

Do I need any external dependencies to run the YouTube research pipeline?▼

No external dependencies are required to run the YouTube research pipeline. The automated process handles topic-based search, video selection, and NotebookLM-based analysis independently using its internal scripts.