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JosiahSiegel
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ffmpeg-video-analysis

Analyze video files for black frames, blur, scene changes, and interlacing using FFmpeg filters.

51|10|Updated Oct 22, 2025
Search Tags:#automation#quality control#ffmpeg#video analysis#broadcast#scene detection
One-click install
npx skills add https://github.com/JosiahSiegel/claude-plugin-marketplace --skill ffmpeg-video-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ffmpeg-video-analysis
Source: https://github.com/JosiahSiegel/claude-plugin-marketplace/tree/main/plugins/ffmpeg-master/skills/ffmpeg-video-analysis
Command: npx skills add https://github.com/JosiahSiegel/claude-plugin-marketplace --skill ffmpeg-video-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex process of analyzing video files for quality issues, content characteristics, and compliance, saving significant manual effort in post-production and broadcast workflows.

Core Features & Use Cases

  • Automated Quality Control: Detects black frames, frozen frames, blurriness, and interlacing.
  • Content Analysis: Identifies scene changes, auto-crops to remove borders, and extracts frame information.
  • Use Case: Automatically scan a batch of video files to identify any segments with black frames or frozen content, flagging them for review before final delivery.

Quick Start

Use the ffmpeg-video-analysis skill to detect black frames in the video file 'input.mp4'.

Frequently Asked Questions about ffmpeg-video-analysis

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

FAQPage Schema
How do I automate video quality control to detect black frames and frozen content for broadcast workflows?▼

Automated video quality control detects black frames, frozen frames, blur, and interlacing using FFmpeg filters, scanning batches of video files to flag segments for review before final delivery.

How do I detect scene changes and analyze video content characteristics using FFmpeg?▼

Scene detection and video content analysis use FFmpeg filters to identify scene changes, auto-crop borders, and extract frame information, automating content characteristic evaluation for post-production workflows.

Can I calculate PSNR and SSIM video quality metrics with FFmpeg?▼

You can calculate PSNR and SSIM video quality metrics using FFmpeg filters, providing automated quality measurement to ensure video files meet broadcast and production compliance standards.

Do I need FFmpeg installed to analyze video files for blurriness and interlacing?▼

Yes, you need FFmpeg installed and accessible in the system's PATH to analyze video files for blurriness, interlacing, black frames, and frozen frames, as the Skill automates existing FFmpeg filter functions.

What is the best way to scan a batch of video files for frozen frames and black frames before delivery?▼

Batch scanning video files for frozen frames and black frames is best handled by automating FFmpeg filters, which systematically flag quality issues across multiple files to streamline pre-delivery review.

Why does the ffmpeg-video-analysis Skill require FFmpeg in the system PATH?▼

The ffmpeg-video-analysis Skill requires FFmpeg in the system PATH because it automates FFmpeg filters for video analysis, relying on the local FFmpeg installation to execute black frame detection, scene analysis, and quality metric calculations.

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