Coreweave deploy integration

Skill ComeOnOliver/skillshub/skills/jeremylongshore/claude-code-plugins-plus-skills/coreweave-deploy-integration

Deploy inference services on CoreWeave with Helm charts and Kustomize. Use when deploying multi-model inference, managing GPU deployments at scale, or templating CoreWeave manifests. Trigger with phrases like "deploy coreweave", "coreweave helm", "coreweave kustomize", "coreweave deployment patterns".From its SKILL.md

Install

npx -y skills add ComeOnOliver/skillshub --skill coreweave-deploy-integration

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SKILL.md

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CoreWeave Deploy Integration

Helm Chart for Inference Service

# helm/values.yaml
replicaCount: 2
image:
  repository: vllm/vllm-openai
  tag: latest
gpu:
  type: A100_PCIE_80GB
  count: 1
  memory: 48Gi
model:
  name: meta-llama/Llama-3.1-8B-Instruct
autoscaling:
  enabled: true
  minReplicas: 1
  maxReplicas: 5
  targetConcurrency: 2

helm install my-inference ./helm -f values-prod.yaml
helm upgrade my-inference ./helm -f values-prod.yaml

Kustomize Overlays

k8s/
├── base/
│   ├── deployment.yaml
│   ├── service.yaml
│   └── kustomization.yaml
├── overlays/
│   ├── dev/
│   │   ├── gpu-patch.yaml       # L40 GPU for dev
│   │   └── kustomization.yaml
│   └── prod/
│       ├── gpu-patch.yaml       # A100/H100 for prod
│       ├── replicas-patch.yaml
│       └── kustomization.yaml

kubectl apply -k k8s/overlays/prod/

Resources

Next Steps

For event monitoring, see coreweave-webhooks-events.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.