Can I run multiple Jellyfin instances?

Yes, the skill uses an instance numbering system (defaulting to port 8096 for instance 1) to allow multiple segregated libraries on a single host.

Is cloud storage supported for media libraries?

Yes, the Jellyfin containers are compatible with FUSE filesystem mounts like rclone or sshfs for utilizing remote storage.

How are the containers managed on the host?

The skill utilizes Podman Quadlet, which generates systemd units for robust, rootless container management and service persistence.

How do I access the Jellyfin web interface?

You can use the 'ujust jellyfin url' command to retrieve the specific access URL for your instance, typically starting at http://localhost:8096.

Does this skill support GPU acceleration?

Yes, it supports hardware-accelerated transcoding for NVIDIA (NVENC/NVDEC), AMD (VAAPI), and Intel (QuickSync) architectures.

Jellyfin Media Server Management

Name: Jellyfin Media Server Management
Author: atrawog

byatrawog

部署与 DevOps

Manages Jellyfin media server instances using Podman Quadlet with support for hardware transcoding and multi-instance deployments.

关于

The Jellyfin skill empowers Claude to deploy, configure, and maintain Jellyfin media servers as Podman Quadlet containers. It streamlines the complexities of setting up hardware-accelerated transcoding for NVIDIA, AMD, and Intel GPUs, and facilitates advanced configurations like FUSE filesystem mounts for cloud storage. With built-in support for multiple instances, users can run segregated media libraries on a single host with automated port management and lifecycle commands, making it an essential tool for automated media server administration within the Overthink OS ecosystem.

主要功能

FUSE filesystem compatibility for cloud/remote storage
0 GitHub stars
Multi-instance library support with port incrementing
Integrated lifecycle management (Start, Stop, Logs, Shell)
Podman Quadlet containerized deployment
Hardware-accelerated transcoding (NVIDIA, AMD, Intel)

使用场景

Troubleshooting streaming performance via container logs and shell diagnostics
Setting up a new media server with automated GPU passthrough
Deploying separate Jellyfin instances for different media categories or users

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add atrawog/overthink-plugins jellyfin

For use in Claude.ai and ChatGPT

Download Skill

GitHub

关于