How does this skill help avoid vendor lock-in?

It provides patterns for cloud-agnostic abstractions and maps equivalent services across providers, enabling developers to build systems that can be migrated or split across clouds with minimal friction.

Which cloud providers are covered in the comparison?

The skill includes detailed service comparisons and integration strategies for the three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Does this skill provide cost-saving advice?

Yes, it includes specific cost optimization strategies such as leveraging spot instances, right-sizing resources, and utilizing committed use discounts across different platforms.

Can this skill help with existing cloud migrations?

Absolutely. It features a dedicated migration strategy section covering assessment, pilot programs, incremental migration, and post-migration optimization.

Multi-Cloud Architecture

Name: Multi-Cloud Architecture
Author: wshobson

bywshobson

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23,194

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Cloud Infrastructure

Designs and integrates cloud-agnostic architectures across AWS, Azure, and GCP using standardized decision frameworks and service mapping.

The Multi-Cloud Architecture skill empowers developers to architect resilient, cost-effective systems that leverage the unique strengths of AWS, Azure, and GCP while avoiding vendor lock-in. It provides comprehensive service comparison matrices, proven architectural patterns—such as Disaster Recovery and Best-of-Breed integrations—and actionable migration strategies. By utilizing cloud-native abstractions and infrastructure-as-code best practices, this skill helps teams optimize performance and costs while maintaining flexibility across the world's leading cloud platforms.

Key Features

01Cross-provider service mapping for compute, storage, and database services

0223,194 GitHub stars

03Pre-defined architectural patterns for disaster recovery and geographic distribution

04Cost optimization strategies including reserved capacity and spot instance management

05Cloud-agnostic abstraction layers using Kubernetes and open-source alternatives

06Structured four-phase migration framework for transitioning workloads

Use Cases

01Selecting best-of-breed services to combine GCP AI capabilities with AWS compute

02Building vendor-neutral infrastructure using Terraform and standardized abstractions

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

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wshobson/agents multi-cloud-architecture

For use in Claude.ai and ChatGPT

Download Skill