Agent skill · software engineering · jeremylongshore

coreweave-local-dev-loop

Set up local development workflow for CoreWeave GPU deployments.

Why this skill is useful

Adds specific commands and scripts for building and deploying GPU containers on CoreWeave that the AI wouldn't reliably generate on its own.

What it needs

Requires docker 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 Local Dev Loop Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc. Overview Local development workflow for CoreWeave: build containers, test YAML manifests with dry-run, push to registry, and deploy to CoreWeave CKS. Prerequisites Completed coreweave-install-auth setup Docker installed locally Container registry access (Docker Hub, GHCR, or CoreWeave registry) Instructions Step 1: Project Structure Step 2: Build and Push Container Step 3: Validate Manifests Before Deploy Step 4: Deploy and Watch Error Handling Error Cause Solution ------- ------- ---------- Image pull backoff Wrong registry or no pull secret Create imagePullSecret CUDA mismatch Driver vs container version Match CUDA version to node drivers Dry-run fails Invalid manifest Fix YAML syntax Output A locally built, versioned image and a server-validated deployment manifest. A staging rollout receipt with readiness and bounded log evidence. A repeatable local-to-cluster loop that leaves production credentials and data out of the workspace. Examples Use the staging namespace for the complete loop and inspect the diff before apply: If the server dry-run fails, correct the manifest before pushing an image or changing GPU quota. Do not point local development at production namespaces or copy kubeconfigs between environments. Resources CoreWeave CKS Docs kubectl dry-run Next Steps See coreweave-sdk-patterns for inference client patterns.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills jeremylongshore/coreweave-local-dev-loop

View the source on GitHub

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