vLLM Kubernetes Deployment

A Claude skill for deploying vLLM to Kubernetes using YAML templates. Deploys a vLLM OpenAI-compatible server as a Kubernetes Deployment with a ClusterIP Service, GPU resources, and health probes.

What this skill does

• Deploy vLLM as a Kubernetes Deployment + Service with NVIDIA GPU support
• Check if a vLLM deployment already exists before deploying
• Check if the Hugging Face token secret exists, and ask the user for their token if not
• Use the vllm/vllm-openai:latest image by default (user can specify a different version)
• Provide sensible default configuration that users can customize (model, replicas, GPU count, extra vLLM flags, etc.)

Prerequisites

• kubectl configured with access to a Kubernetes cluster
• NVIDIA GPU Operator or device plugin installed on cluster nodes
• Hugging Face token (required for gated models like Llama, optional for public models)

Deployment Steps