Coreweave multi env setup
Configure CoreWeave across development, staging, and production environments. Use when setting up multi-environment GPU infrastructure, separating namespaces, or managing per-environment GPU quotas. Trigger with phrases like "coreweave environments", "coreweave staging", "coreweave multi-env", "coreweave namespace setup".From its SKILL.md
npx -y skills add ComeOnOliver/skillshub --skill coreweave-multi-env-setupAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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CoreWeave Multi-Env Setup
Environment Strategy
| Environment | GPU Type | Scale-to-Zero | Replicas |
|---|---|---|---|
| Dev | L40 | Yes | 0-1 |
| Staging | A100 40GB | Yes | 0-2 |
| Production | A100 80GB | No | 2-10 |
Kustomize Overlays
# k8s/overlays/dev/gpu-patch.yaml
- op: replace
path: /spec/template/spec/affinity/nodeAffinity/requiredDuringSchedulingIgnoredDuringExecution/nodeSelectorTerms/0/matchExpressions/0/values
value: ["L40"]
# k8s/overlays/prod/gpu-patch.yaml
value: ["A100_PCIE_80GB"]
# Deploy per environment
kubectl apply -k k8s/overlays/dev/
kubectl apply -k k8s/overlays/prod/
Resources
Next Steps
For observability, see coreweave-observability.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.