youtube-comment-analysis

Extract, clean, and analyze YouTube comments with yt-dlp into golden insights.

11|2|Updated Nov 9, 2025
One-click install
npx skills add https://github.com/vre/flow-state --skill youtube-comment-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: youtube-comment-analysis
Source: https://github.com/vre/flow-state/tree/main/youtube-comment-analysis
Command: npx skills add https://github.com/vre/flow-state --skill youtube-comment-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yt-dlp.

What problem does it solve?

This Skill helps you extract and analyze YouTube comments, offering standalone analysis or sequential processing when you also generate a video transcript for context.

Core Features & Use Cases

  • Comment extraction: Retrieve comments and their metadata for a given YouTube video.
  • Cleaning & curation: Remove spam, duplicates, and off-topic content to surface meaningful insights.
  • Golden insights: Identify and surface the most valuable comments for quick reading.
  • Modes: Standalone analysis or sequential with youtube-to-markdown for cross-analysis with the video summary.

Quick Start

Run the youtube-comment-analysis skill with a YouTube URL to produce a cleaned set of comments and a golden-insights output, ready for final review or sharing.

Frequently Asked Questions about youtube-comment-analysis

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

FAQPage Schema
How do I extract and analyze YouTube comments from a video?

YouTube comment analysis retrieves comments and metadata from a video URL, then cleans and structures them for insight extraction. Provide a YouTube URL to get a curated set of comments with spam and duplicates removed, plus highlighted golden insights ready for review.

Can I use YouTube comment analysis with video transcripts for deeper context?

Yes, comment analysis works standalone or sequentially with video transcripts. Run it after generating a video summary to cross-analyze viewer discussions alongside the content, surfacing insights that relate directly to what viewers discussed about the video.

What does cleaning and filtering do for YouTube comments?

Cleaning removes spam, duplicates, and off-topic content to surface meaningful discussions. The Skill applies extraction and curation rules to leave only high-value comments, then identifies golden insights—the most valuable user feedback—for quick review.

Do I need any tools installed to retrieve YouTube comments?

The Skill uses yt-dlp to retrieve comments and metadata from YouTube videos. You provide a video URL or ID; yt-dlp handles comment extraction, and the Skill processes the output into a cleaned report with hierarchical formatting.

What's the output format after comment analysis completes?

Comment analysis produces hierarchical markdown output with cleaned comments, metadata, and a golden-insights section. The report is ready for final review, sharing, or downstream processing in your workflow.