Can I run multiple Jellyfin instances simultaneously?

Absolutely. The skill includes multi-instance support using the --instance flag, allowing you to manage separate configurations, ports, and media libraries independently.

How do I access the Jellyfin web interface?

You can use the 'ujust jellyfin url' command within Claude Code to retrieve the access URL, which defaults to http://localhost:8096 for the primary instance.

Does this skill support hardware transcoding?

Yes, it supports hardware acceleration for NVIDIA (NVENC), AMD (VAAPI), and Intel (QuickSync) GPUs through the --gpu-type configuration flag.

Does it work with cloud storage or remote mounts?

Yes, the container is designed with FUSE compatibility, allowing you to use rclone or sshfs mounts for your media library before starting the service.

Jellyfin Media Server Manager

Name: Jellyfin Media Server Manager
Author: atrawog

byatrawog

Deployment & DevOps

Deploys and manages containerized Jellyfin media server instances with hardware transcoding and FUSE filesystem support.

About

This skill streamlines the management of Jellyfin media servers on Bazzite AI systems using Podman Quadlet containers. It provides a robust interface for configuring multiple instances, enabling hardware acceleration across NVIDIA, AMD, and Intel GPUs, and integrating with remote storage through FUSE mounts. Whether you are setting up a single home library or complex multi-instance environments with host networking for DLNA discovery, this skill automates the configuration, lifecycle management, and troubleshooting of your media infrastructure directly within the Claude Code environment.

Key Features

Hardware transcoding support for NVIDIA, AMD, and Intel GPUs
FUSE filesystem compatibility for cloud and remote storage integration
Automated Podman Quadlet container deployment and management
0 GitHub stars
Multi-instance library management with independent configurations and ports
Comprehensive lifecycle commands for logs, shell access, and health monitoring

Use Cases

Deploying a high-performance media server with GPU acceleration on Bazzite
Running isolated Jellyfin instances for different content libraries or users
Connecting cloud-hosted media to a local server using rclone and Podman

About

Key Features

Hardware transcoding support for NVIDIA, AMD, and Intel GPUs
FUSE filesystem compatibility for cloud and remote storage integration
Automated Podman Quadlet container deployment and management
0 GitHub stars
Multi-instance library management with independent configurations and ports
Comprehensive lifecycle commands for logs, shell access, and health monitoring

Use Cases

Deploying a high-performance media server with GPU acceleration on Bazzite
Running isolated Jellyfin instances for different content libraries or users
Connecting cloud-hosted media to a local server using rclone and Podman