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media-processing

Automates image, audio, video batch resizing, conversion and optimization workflows using FFmpeg, ImageMagick, and Python scripts.

Updated Mar 24, 2026
Search Tags:#automation#cli#media#ffmpeg#imagemagick#processing#batch-processing
One-click install
npx skills add https://github.com/tkmh04/CoffeeHouse-Management-System --skill media-processing-tkmh04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: media-processing
Source: https://github.com/tkmh04/CoffeeHouse-Management-System/tree/main/.agents/skills/media-processing
Command: npx skills add https://github.com/tkmh04/CoffeeHouse-Management-System --skill media-processing-tkmh04

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Media processing tasks across images, audio, and video are often manual, error-prone, and hard to reproduce. This Skill provides repeatable, script-driven workflows that orchestrate FFmpeg, ImageMagick, and Python helpers to streamline batch processing.

Core Features & Use Cases

  • Image workflows: batch resizing, thumbnail generation, and format conversions.
  • Media conversion and optimization: automatic handling of video, audio, and image assets with deterministic outputs.
  • Video optimization: resolution control, CRF-based encoding, and before/after summaries for performance improvements.

Quick Start

Batch process a directory of media assets to resize images, convert formats, and optimize videos using the included scripts.

Frequently Asked Questions about media-processing

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

FAQPage Schema
How do I automate batch resizing and format conversion for images?▼

Batch resizing and format conversion for images is automated by orchestrating ImageMagick and Python helpers. It processes directories recursively with deterministic, non-destructive defaults to ensure repeatable media workflows.

What is the best way to optimize video resolution and encoding in a pipeline?▼

Video optimization in a pipeline is handled using FFmpeg with CRF-based encoding and resolution control. It generates before and after summaries to track performance improvements while maintaining deterministic outputs.

Do I need to install FFmpeg and ImageMagick separately to use these batch processing workflows?▼

FFmpeg and ImageMagick are required as external dependencies for executing the batch processing scripts. The workflows coordinate these tools alongside Python helpers to automate media conversion, resizing, and optimization.

Can I process audio and video assets recursively without losing the original files?▼

Recursive batch operations across audio and video assets are supported with non-destructive defaults. It orchestrates FFmpeg to convert and optimize media files deterministically without altering the original source assets.

Why should I use script-driven media processing instead of manual FFmpeg commands?▼

Script-driven media processing eliminates manual, error-prone FFmpeg commands by enforcing deterministic, reproducible workflows. It coordinates batch operations across images, audio, and video for development and archival pipelines.

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