video-analysis

Name: video-analysis
Availability: InStock
Author: Craig

Analyze YouTube video performance metrics and generate structured insights.

131|30|Updated Feb 10, 2026

Search Tags:#analytics #reporting #youtube #retention #analyze #ctr #video-performance

Ready to run

npx skills add https://github.com/TheCraigHewitt/skills --skill video-analysis-thecraighewitt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-analysis
Source: https://github.com/TheCraigHewitt/skills/tree/main/youtube/video-analysis
Command: npx skills add https://github.com/TheCraigHewitt/skills --skill video-analysis-thecraighewitt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps creators and analysts quickly diagnose why a YouTube video underperforms or overperforms by systematically analyzing key metrics and patterns across the video, audience retention, CTR, and traffic sources.

Core Features & Use Cases

Retention curve diagnostics: identify drop-off points and correlate with on-video events.
CTR and engagement analysis: interpret click-through rate in the context of your titles and thumbnails.
Channel health benchmarking: compare against your channel's recent performance to set realistic goals.
Actionable recommendations: derive concrete steps to improve future videos.
Use Case: post-mortem analysis after a launch video to extract learnings and repeatable formats.

Quick Start

Provide the video title, publish date, and key metrics to generate an actionable analysis report.

Frequently Asked Questions about video-analysis

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

FAQPage Schema

How do I analyze YouTube video retention curves to find drop-off points?▼

To analyze YouTube video retention curves, you examine audience retention data to identify exact drop-off timestamps and correlate them with specific on-video events. This diagnostic process isolates pacing or content issues causing viewers to leave.

What is the best way to diagnose why a YouTube video is underperforming?▼

Diagnosing an underperforming YouTube video requires systematically analyzing views, retention, CTR, and traffic sources. By comparing these metrics against channel health benchmarks, you can identify whether the issue stems from titles, thumbnails, or content pacing.

How do I interpret YouTube CTR and traffic sources for a new video launch?▼

Interpreting YouTube CTR and traffic sources involves evaluating click-through rates alongside your titles and thumbnails, then mapping where viewers discover the video. This reveals which external platforms or search queries drive initial traffic.

Can I use video performance metrics to generate actionable improvements for my channel?▼

You can use video performance metrics to generate actionable improvements by running a post-mortem analysis after a launch. Extracting learnings from retention and CTR data helps you derive concrete steps and repeatable formats for future videos.

Does this approach work for analyzing high-CTR breakthroughs as well as retention issues?▼

This approach works for analyzing both high-CTR breakthroughs and retention issues. It applies traffic source analysis and retention curve diagnostics across individual videos, playlists, and channel health checks to diagnose both overperforming and underperforming scenarios.