What cloud providers are supported by this skill?

The skill provides comprehensive mapping and decision frameworks for the three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

How does this skill help avoid vendor lock-in?

It provides cloud-agnostic abstraction patterns and identifies open-source or equivalent managed services across providers to ensure infrastructure portability.

Can I use this for Kubernetes-based deployments?

Absolutely; the skill emphasizes Kubernetes (EKS, AKS, and GKE) as a core compute abstraction for maintaining consistency across different clouds.

Does it include strategies for cost management?

Yes, it features cost comparison tables and optimization strategies, including the use of reserved capacity, spot instances, and serverless scaling.

Does it provide guidance on data migration?

Yes, it includes a multi-phase migration strategy covering assessment, pilot testing, incremental migration, and post-migration optimization.

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: HermeticOrmus

byHermeticOrmus

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Cloud Infrastructure

Architects cloud-agnostic systems and maps services across AWS, Azure, and GCP to optimize performance and prevent vendor lock-in.

This skill provides a comprehensive decision framework for designing multi-cloud infrastructures, enabling developers to seamlessly integrate and compare services across major providers like AWS, Azure, and GCP. It offers detailed patterns for disaster recovery, best-of-breed service selection, and geographic distribution, while providing concrete abstraction strategies using tools like Kubernetes and Terraform to ensure portability. Whether migrating workloads between clouds or building a resilient, cost-effective global system from scratch, this skill guides Claude in making informed architectural choices that balance performance, cost, and operational flexibility.

Key Features

01Multi-cloud architectural patterns for DR and geographic distribution

02Comprehensive cost optimization and comparison frameworks

032 GitHub stars

04Cloud-agnostic abstraction strategies using Kubernetes and Terraform

05Cross-provider service mapping for compute, storage, and databases

06Structured four-phase migration strategies for cloud workloads

Use Cases

01Migrating legacy single-cloud applications to a portable, cloud-agnostic architecture

02Selecting the most cost-effective or high-performance services for specific regional workloads

03Designing high-availability disaster recovery plans across multiple cloud providers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/libreuiux-claude-code multi-cloud-architecture

For use in Claude.ai and ChatGPT

Download Skill