How does this skill help with vendor lock-in?

It provides a decision framework for using cloud-agnostic abstractions and mapping equivalent services across providers, ensuring your architecture remains portable.

Can this skill assist with cloud pricing comparisons?

Yes, it includes detailed cost optimization strategies and compares pricing factors like reserved instances and spot capacity across major clouds.

Does it support specific Infrastructure as Code (IaC) tools?

It emphasizes the use of Terraform and OpenTofu as primary abstraction layers for managing multi-cloud resources consistently.

Which cloud providers are covered in this framework?

The skill focuses on the three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: kivilaid

bykivilaid

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Cloud Infrastructure

Designs and integrates resilient, cloud-agnostic architectures across AWS, Azure, and Google Cloud Platform using standardized decision frameworks.

About

This skill empowers Claude to architect sophisticated multi-cloud environments by providing a structured framework for service selection and integration. It facilitates the creation of vendor-neutral systems through a comprehensive mapping of compute, storage, and database services across major providers including AWS, Azure, and GCP. By leveraging established multi-cloud patterns—such as disaster recovery, best-of-breed selection, and geographic distribution—this skill helps developers avoid vendor lock-in, optimize infrastructure costs, and implement robust migration strategies between cloud environments.

Key Features

Multi-cloud disaster recovery and geographic distribution frameworks
Step-by-step migration assessment and execution guidelines
Cross-provider service mapping for compute, storage, and databases
Detailed cost optimization strategies across AWS, Azure, and GCP
6 GitHub stars
Implementation of cloud-agnostic patterns using Kubernetes and Terraform

Use Cases

Developing a migration roadmap to move workloads into a modern multi-cloud setup
Selecting cost-effective best-of-breed services from multiple cloud vendors
Architecting a high-availability system with failover between AWS and Azure

About

Key Features

Multi-cloud disaster recovery and geographic distribution frameworks
Step-by-step migration assessment and execution guidelines
Cross-provider service mapping for compute, storage, and databases
Detailed cost optimization strategies across AWS, Azure, and GCP
6 GitHub stars
Implementation of cloud-agnostic patterns using Kubernetes and Terraform

Use Cases

Developing a migration roadmap to move workloads into a modern multi-cloud setup
Selecting cost-effective best-of-breed services from multiple cloud vendors
Architecting a high-availability system with failover between AWS and Azure