Cloud & DevOps Agent Skills for Claude Code

Configure Vast.ai local development with testing and fast iteration.

Migrate GPU workloads to or from Vast.ai, or between GPU providers.

Configure Vast.ai GPU cloud across dev, staging, and production environments.

Execute Vast.ai production deployment checklist for GPU workloads.

Collect Vercel debug evidence for support tickets and troubleshooting.

Deploy applications and websites to Vercel.

Expert knowledge for deploying to Vercel with Next.js

Build and deploy Vercel Edge Functions for ultra-low latency at the

Configure Vercel enterprise RBAC, access groups, SSO integration, and

Create a minimal working Vercel deployment with a serverless API route.

Vercel incident response procedures with triage, instant rollback, and

Install Vercel CLI and configure API token authentication.

Configure Vercel local development with vercel dev, environment variables,

Migrate to Vercel from other platforms or re-architecture existing Vercel

Optimize Vercel deployment performance with caching, bundle optimization,

React/Next.js performance rules from Vercel Engineering.

Implement a Vercel reference architecture with layered project structure

Implement reliability patterns for Vercel deployments including circuit

Production-ready Vercel REST API patterns with typed fetch wrappers

Execute use when provisioning Vertex AI infrastructure with Terraform.

Lambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures.