Cloud & DevOps Agent Skills for Cursor

Configure Vast.ai CI/CD integration with GitHub Actions and automated

Rent your first GPU instance on Vast.ai and run a workload.

Install and configure Vast.ai CLI and REST API authentication.

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

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

Execute Vast.ai production deployment checklist for GPU workloads.

Apply production-ready Vast.ai SDK patterns for Python and REST API.

Systematically evaluate and select vendors for infrastructure, SaaS, or services.

Advanced debugging for hard-to-diagnose Vercel issues including cold

Vercel API for deployments. Use when user mentions "Vercel", "vercel.app",

Choose and implement Vercel architecture blueprints for different scales

Configure Vercel CI/CD with GitHub Actions, preview deployments, and

Deploy and manage Vercel production deployments with promotion, rollback,

Create and manage Vercel preview deployments for branches and pull requests.

Vercel deployment patterns — environments, env vars, preview deployments, ISR, and edge config for Next.js

Identify and avoid Vercel anti-patterns and common integration mistakes.

Configure Vercel local development with vercel dev, environment variables,

Configure Vercel across development, preview, and production environments

Optimize Vercel deployment performance with caching, bundle optimization,

Implement lint rules, CI policy checks, and automated guardrails for

Handle Vercel API rate limits, implement retry logic, and configure