Cloud & DevOps Agent Skills for Claude Desktop

Work with the upstash-box Python SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, snapshots, and…

Use when the agent needs to run code or stand up service dependencies (postgres, mysql, minio, redis, etc.) inside containers.

Creates and manages isolated cloud sandboxes (secure code execution environments with dedicated runtimes) on the Daytona platform.

Comprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project…

Validate Copilot Studio agent YAML files using the LSP binary's full diagnostics (YAML structure, Power Fx, schema, cross-file references).

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

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,