Agent skill · software engineering · jeremylongshore
coreweave-hello-world
Deploy a GPU workload on CoreWeave with kubectl.
Why this skill is useful
Provides specific Kubernetes deployment patterns and GPU workload configurations for CoreWeave that the AI wouldn't reliably generate on its own.
What it needs
Requires kubectl installed locally. Requires coreweave account access. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
CoreWeave Hello World Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc. Overview Deploy your first GPU workload on CoreWeave: a simple inference service using vLLM or a batch CUDA job. CoreWeave runs Kubernetes on bare-metal GPU nodes with A100, H100, and L40 GPUs. Prerequisites Completed coreweave-install-auth setup kubectl configured with CoreWeave kubeconfig Namespace with GPU quota Instructions Step 1: Deploy a vLLM Inference Server Step 2: Batch GPU Job Error Handling Error Cause Solution ------- ------- ---------- Pod stuck Pending No GPU capacity Try different GPU type or check quota nvidia-smi not found Wrong base image Use NVIDIA CUDA images OOMKilled Insufficient GPU memory Use larger GPU (80GB A100) Image pull error Registry auth Create imagePullSecret Output A minimal, namespace-scoped GPU workload or inference endpoint with one declared GPU. A visible readiness signal and a bounded smoke-test response that confirms the GPU runtime path without placing a model token or customer prompt in source control. Examples Validate the batch path first because it is cheaper and easier to roll back than a public endpoint: Delete the smoke job after recording its redacted result. If it remains Pending, inspect its events and namespace quota—do not broaden cluster permissions or embed registry credentials in the manifest to force it through. Resources CoreWeave GPU Instances Deploy vLLM CoreWeave Examples Next Steps Proceed to coreweave-local-dev-loop for development workflow setup.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/coreweave-hello-world