Agent skill
coreweave-prod-checklist
Production readiness checklist for CoreWeave GPU workloads. Use when launching inference services, preparing GPU training for production, or validating deployment configurations. Trigger with phrases like "coreweave production", "coreweave go-live", "coreweave checklist", "coreweave launch".
Install this agent skill to your Project
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/coreweave-pack/skills/coreweave-prod-checklist
SKILL.md
CoreWeave Production Checklist
Inference Services
- GPU type and count validated for model size
- Autoscaling configured (KServe or HPA)
- Health and readiness probes set
- Resource requests AND limits specified
- Node affinity targeting correct GPU class
-
minReplicas >= 1for production (no cold starts)
Storage
- Model weights in PVC (not downloaded at startup)
- Checkpoints saved to persistent storage
- Storage class appropriate (SSD for inference, HDD for archival)
Security
- Secrets for model tokens and registry access
- Network policies applied
- Container images from trusted registries
Monitoring
- GPU utilization metrics collected
- Inference latency and throughput tracked
- Alert on pod restarts and OOM events
- Log aggregation configured
Rollback
kubectl rollout undo deployment/my-inference
kubectl rollout status deployment/my-inference
Resources
Next Steps
For upgrades, see coreweave-upgrade-migration.
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