moai-domain-cloud

Automate design and validation of enterprise multi-cloud architectures across AWS, GCP, and Azure.

4|1|Updated Nov 18, 2025
One-click install
npx skills add https://github.com/AJBcoding/claude-skill-eval --skill moai-domain-cloud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-domain-cloud
Source: https://github.com/AJBcoding/claude-skill-eval/tree/main/skills/moai-domain-cloud
Command: npx skills add https://github.com/AJBcoding/claude-skill-eval --skill moai-domain-cloud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enterprise cloud architecture patterns, multi-cloud tooling, and IaC best practices.

Core Features & Use Cases

  • ✅ Multi-cloud deployment patterns (AWS, GCP, Azure)
  • ✅ Serverless and container orchestration guidance
  • ✅ Terraform/Pulumi/Kubernetes best practices
  • ✅ Security, cost optimization, and disaster recovery patterns

Quick Start

Define a small multi-cloud deployment blueprint with Terraform/Pulumi.

Frequently Asked Questions about moai-domain-cloud

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a multi-cloud architecture across AWS, GCP, and Azure?

Multi-cloud architecture design automates deployment patterns and infrastructure validation across AWS, GCP, and Azure using Terraform, Pulumi, or CDK. This Skill applies production-ready patterns for serverless, containers, security, cost optimization, and disaster recovery to ensure governance and observability requirements are met.

Can I use Terraform with multi-cloud deployments on all three major cloud providers?

Yes. Terraform works with AWS, GCP, and Azure for multi-cloud deployments. This Skill validates Terraform infrastructure-as-code compatibility, best practices, and tooling across all three platforms using 2025 stable versions.

What's the best way to implement serverless and container orchestration across multiple clouds?

Serverless and container orchestration across clouds requires consistent patterns for networking, security, and observability. This Skill guides deployment patterns, Kubernetes best practices, and cross-cloud tooling to satisfy production-ready governance and cost optimization.

How do I ensure security and disaster recovery in a multi-cloud setup?

Security and disaster recovery in multi-cloud environments require validated patterns for access control, backup strategies, and failover across AWS, GCP, and Azure. This Skill automates architecture validation against security, observability, and disaster recovery requirements.

Does this work with infrastructure-as-code tools besides Terraform?

Yes. This Skill supports Terraform, Pulumi, and AWS CDK for multi-cloud infrastructure-as-code. Each tool receives validation against production-ready patterns, security, cost optimization, and governance requirements.

What happens if my cloud architecture doesn't meet production-ready standards?

The Skill validates your architecture against production-ready patterns, tooling compatibility, and governance requirements. It identifies gaps in security, cost optimization, observability, and disaster recovery across your multi-cloud design.