youtube-research

Search YouTube videos by keywords and analyze comments for market signals.

1|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/terminaluse/demos --skill youtube-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: youtube-research
Source: https://github.com/terminaluse/demos/tree/main/devrel/skills/youtube-research
Command: npx skills add https://github.com/terminaluse/demos --skill youtube-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill helps teams quickly uncover customer pain points, feature requests, and competitive mentions by searching YouTube and analyzing comments for market signals.

Core Features & Use Cases

  • Video discovery: find relevant videos by keywords and pull metadata.
  • Comment signal extraction: categorize comments into pain points, feature requests, competitor mentions, and purchase intent.
  • Product insights: generate structured markdown reports that summarize sentiment, trends, and opportunities.
  • Use Case: a product team researching user sentiment around a new feature can compile video sources and publicly expressed needs into a single report.

Quick Start

Run the search and analysis commands with your keywords to generate a signal report.

Frequently Asked Questions about youtube-research

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

FAQPage Schema
How do I extract market signals from YouTube comments for product research?

You can extract market signals from YouTube comments by searching videos with keywords and categorizing comments into pain points, feature requests, and competitor mentions. This generates structured markdown reports for product insights.

Do I need a YouTube Data API key to analyze video comments for user sentiment?

Yes, a YouTube Data API key is required to analyze video comments for user sentiment. The key enables video searches, metadata retrieval, and comment analysis for signal classification and market opportunity discovery.

What is YouTube sentiment analysis and how does it identify customer pain points?

YouTube sentiment analysis is the process of searching video content and categorizing comments to identify customer pain points, feature requests, and purchase intent. It classifies market signals to assess user sentiment and monitor competitor mentions.

Can I monitor competitor mentions across YouTube video content automatically?

Yes, you can monitor competitor mentions across YouTube video content by searching with keywords and analyzing comments. The process categorizes mentions and outputs structured markdown reports detailing competitive insights and market signals.

What's the best way to discover market opportunities from video research?

The best way to discover market opportunities from video research is to search YouTube by keywords and analyze comments for purchase intent and feature requests. This generates structured markdown reports summarizing trends and product insights.