Agent skill · operations · jeremylongshore
coreweave-prod-checklist
Production readiness checklist for CoreWeave GPU workloads.
Why this skill is useful
Provides a detailed production readiness checklist specifically for CoreWeave GPU workloads, which includes niche configurations and commands not commonly known.
What it needs
Requires kubectl installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
CoreWeave Production Checklist Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc. Overview Use this gate before exposing a CoreWeave inference or training workload to production. It proves that capacity, data protection, observability, and recovery are owned and tested; it is not a substitute for a service-specific risk review. Prerequisites A signed deployment change, named service owner, and approved production namespace. Passing staging evaluation, capacity forecast, and rollback manifest. On-call routing, secret-manager references, and data classification for the workload. Instructions 1. Complete each checklist item with a link to its evidence, not a verbal assertion. 2. Confirm a staged rollout, health check, and rollback command during the change window. 3. Stop the release if any security, data, capacity, or observability gate lacks an owner. 4. Record the final go/no-go decision, time, owner, and redacted verification receipt. 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 >= 1 for 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 Output A production-readiness record linking capacity, storage, security, monitoring, and rollback evidence to the deployment. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/coreweave-prod-checklist