scoop

Analyze YouTube comments to identify content gaps and suggest video ideas.

54|16|Updated Mar 10, 2026

Search Tags:#youtube #content analysis #video marketing #competitor research #audience insights

Ready to run

npx skills add https://github.com/EricTechPro/startup-claude-skills --skill scoop

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scoop
Source: https://github.com/EricTechPro/startup-claude-skills/tree/main/skills/scoop
Command: npx skills add https://github.com/EricTechPro/startup-claude-skills --skill scoop

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive analysis of competitor YouTube content, identifying gaps in competitor content and suggesting opportunities for new video ideas based on audience engagement.

Core Features & Use Cases

Competitor Content Analysis: Extracts and analyzes comments from competitor and your own YouTube videos.
Gap Identification: Identifies content gaps that are not covered by competitors.
Engagement Ranking: Ranks content gaps based on audience engagement to suggest the most promising video ideas.
Use Case: If you're creating educational or informational videos and want to understand what topics are popular with your competitors' audiences.

Quick Start

Use the /scoop command with the URLs of the competitor videos you want to analyze, e.g., /scoop [competitor_video_urls].

Frequently Asked Questions about scoop

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

FAQPage Schema

How do I find YouTube content gaps from competitor video comments?▼

To find YouTube content gaps from competitor video comments, you need to extract audience feedback and classify it using machine learning. This process identifies missing topics and ranks new video ideas based on audience engagement levels.

How does machine learning classify YouTube comments into content gaps?▼

Machine learning classifies YouTube comments into content gaps by analyzing audience engagement data to detect missing topics. It then cross-references these identified gaps against actual video transcripts to verify coverage and suggest new video ideas.

Can I use yt-dlp and mlx-whisper to extract YouTube video transcripts and comments?▼

Yes, you can use yt-dlp and mlx-whisper to extract YouTube video transcripts and comments. These tools handle the background data extraction and audio transcription required to analyze competitor videos and verify audience engagement gaps.

What's the best way to analyze competitor YouTube videos for new content ideas?▼

The best way to analyze competitor YouTube videos for new content ideas is to compare audience engagement comments against actual video transcripts. This verifies which topics are missing and ranks the most promising video ideas by audience demand.

Do I need Apify to perform background extraction for YouTube content analysis?▼

Yes, you need the Apify client to perform background extraction for YouTube content analysis. It handles the background operations required to extract comments and video data efficiently alongside yt-dlp and mlx-whisper.