media-batch
CommunityBatch media processing at scale.
Authordamionrashford
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Batch processing of large media libraries is time-consuming and error-prone when done serially. This skill provides a scalable way to orchestrate ffmpeg/ImageMagick tasks using GNU parallel, enabling resumable, logged, and idempotent batch jobs.
Core Features & Use Cases
- Idempotent batches: safely resume after failures using --resume-failed and per-job logs.
- Scale across machines: distribute work across local or cluster nodes with SSH patterns.
- Flexible pipelines: batch transcode, resize images, and normalize audio via a single script.
Quick Start
Run the batch.py script to start a transcode, resize, or audio-normalize batch on a folder of media.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: media-batch Download link: https://github.com/damionrashford/media-os/archive/main.zip#media-batch Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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