How does this skill help avoid vendor lock-in?

It provides patterns for cloud-agnostic abstraction layers using technologies like Kubernetes, PostgreSQL, and S3-compatible storage to ensure workloads can move between providers.

Which cloud providers are supported in the service comparisons?

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

Can this skill assist with cloud cost management?

Yes, it includes specific strategies for cost optimization across clouds, including right-sizing, leveraging spot/preemptible instances, and using committed use discounts.

Does it provide guidance on migrating existing workloads?

It outlines a structured four-phase migration strategy: Assessment, Pilot, Migration (incremental), and Optimization to ensure a low-risk transition between cloud environments.

Multi-Cloud Architecture Design

Name: Multi-Cloud Architecture Design
Author: Microck

byMicrock

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Cloud Infrastructure

Architects resilient, vendor-agnostic systems by providing comparative service frameworks and implementation patterns across AWS, Azure, and GCP.

About

This skill enables Claude to act as a senior cloud architect, providing a comprehensive decision framework for designing and managing multi-cloud ecosystems. It offers detailed service mappings across the big three providers, architecture patterns for disaster recovery and geographic distribution, and strategies for maintaining cloud-agnostic abstractions using tools like Kubernetes and Terraform. Whether you are migrating complex workloads, optimizing costs across providers, or selecting best-of-breed services for specific tasks, this skill ensures your infrastructure decisions are backed by industry best practices and cross-platform compatibility.

Key Features

Strategic cost optimization frameworks including spot instance management and reserved capacity planning.
Comprehensive service comparison tables for AWS, Azure, and GCP compute, storage, and databases.
Proven multi-cloud patterns for disaster recovery, best-of-breed service selection, and geographic distribution.
Guidance on building cloud-agnostic abstraction layers using open-source tools like Kubernetes and Prometheus.
Four-phase migration strategy covering assessment, pilot, incremental migration, and post-migration optimization.
81 GitHub stars

Use Cases

Designing high-availability architectures that fail over between different cloud providers to ensure maximum uptime.
Selecting the most cost-effective or high-performance service for specific workloads by comparing AWS, Azure, and GCP offerings.
Refactoring vendor-locked legacy infrastructure into a portable, cloud-native architecture using Infrastructure as Code.

About

Key Features

Strategic cost optimization frameworks including spot instance management and reserved capacity planning.
Comprehensive service comparison tables for AWS, Azure, and GCP compute, storage, and databases.
Proven multi-cloud patterns for disaster recovery, best-of-breed service selection, and geographic distribution.
Guidance on building cloud-agnostic abstraction layers using open-source tools like Kubernetes and Prometheus.
Four-phase migration strategy covering assessment, pilot, incremental migration, and post-migration optimization.
81 GitHub stars

Use Cases

Designing high-availability architectures that fail over between different cloud providers to ensure maximum uptime.
Selecting the most cost-effective or high-performance service for specific workloads by comparing AWS, Azure, and GCP offerings.
Refactoring vendor-locked legacy infrastructure into a portable, cloud-native architecture using Infrastructure as Code.