Source profileQuality 87/100

wshobson/agents/plugins/cloud-infrastructure/skills/multi-cloud-architecture/SKILL.md

multi-cloud-architecture

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

Source repository stars
39,098
Declared platforms
0
Static risk flags
0
Last source update
2026-08-24
Source checked
2026-08-25

Decision brief

What it does: where it fits

Decision framework and patterns for architecting applications across AWS, Azure, GCP, and OCI.

Best for

  • Design multi-cloud strategies
  • Migrate between cloud providers
  • Select cloud services for specific workloads

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/wshobson/agents --skill "plugins/cloud-infrastructure/skills/multi-cloud-architecture"
Safe inspection promptEditorial

Inspect the Agent Skill "multi-cloud-architecture" from https://github.com/wshobson/agents/blob/d82998e7df393c671ede2387a8435075f0b633f5/plugins/cloud-infrastructure/skills/multi-cloud-architecture/SKILL.md at commit d82998e7df393c671ede2387a8435075f0b633f5. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Phase 1: Assessment

    Inventory current infrastructure

    Inventory current infrastructureIdentify dependenciesAssess cloud compatibility
  2. 02

    Phase 2: Pilot

    Select pilot workload

    Select pilot workloadImplement in target cloudTest thoroughly
  3. 03

    Phase 3: Migration

    Migrate workloads incrementally

    Migrate workloads incrementallyMaintain dual-run periodMonitor performance
  4. 04

    Phase 4: Optimization

    Right-size resources

    Right-size resourcesImplement cloud-native servicesOptimize costs
  5. 05

    Purpose

    Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.

    Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.

Permission review

Static risk signals and limitations

No configured static risk pattern was detected

This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score87/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars39,098SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
wshobson/agents
Skill path
plugins/cloud-infrastructure/skills/multi-cloud-architecture/SKILL.md
Commit
d82998e7df393c671ede2387a8435075f0b633f5
License
MIT
Collected
2026-08-25
Default branch
main
View the original SKILL.md

Multi-Cloud Architecture

Decision framework and patterns for architecting applications across AWS, Azure, GCP, and OCI.

Purpose

Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.

When to Use

  • Design multi-cloud strategies
  • Migrate between cloud providers
  • Select cloud services for specific workloads
  • Implement cloud-agnostic architectures
  • Optimize costs across providers

Cloud Service Comparison

Compute Services

AWSAzureGCPOCIUse Case
EC2Virtual MachinesCompute EngineComputeIaaS VMs
ECSContainer InstancesCloud RunContainer InstancesContainers
EKSAKSGKEOKEKubernetes
LambdaFunctionsCloud FunctionsFunctionsServerless
FargateContainer AppsCloud RunContainer InstancesManaged containers

Storage Services

AWSAzureGCPOCIUse Case
S3Blob StorageCloud StorageObject StorageObject storage
EBSManaged DisksPersistent DiskBlock VolumesBlock storage
EFSAzure FilesFilestoreFile StorageFile storage
GlacierArchive StorageArchive StorageArchive StorageCold storage

Database Services

AWSAzureGCPOCIUse Case
RDSSQL DatabaseCloud SQLMySQL HeatWaveManaged SQL
DynamoDBCosmos DBFirestoreNoSQL DatabaseNoSQL
AuroraPostgreSQL/MySQLCloud SpannerAutonomous DatabaseDistributed SQL
ElastiCacheCache for RedisMemorystoreOCI CacheCaching

Reference: See references/service-comparison.md for complete comparison

Multi-Cloud Patterns

Pattern 1: Single Provider with DR

  • Primary workload in one cloud
  • Disaster recovery in another
  • Database replication across clouds
  • Automated failover

Pattern 2: Best-of-Breed

  • Use best service from each provider
  • AI/ML on GCP
  • Enterprise apps on Azure
  • Regulated data platforms on OCI
  • General compute on AWS

Pattern 3: Geographic Distribution

  • Serve users from nearest cloud region
  • Data sovereignty compliance
  • Global load balancing
  • Regional failover

Pattern 4: Cloud-Agnostic Abstraction

  • Kubernetes for compute
  • PostgreSQL for database
  • S3-compatible storage (MinIO)
  • Open source tools

Cloud-Agnostic Architecture

Use Cloud-Native Alternatives

  • Compute: Kubernetes (EKS/AKS/GKE/OKE)
  • Database: PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL/MySQL HeatWave)
  • Message Queue: Apache Kafka or managed streaming (MSK/Event Hubs/Confluent/OCI Streaming)
  • Cache: Redis (ElastiCache/Azure Cache/Memorystore/OCI Cache)
  • Object Storage: S3-compatible API
  • Monitoring: Prometheus/Grafana
  • Service Mesh: Istio/Linkerd

Abstraction Layers

Application Layer
    ↓
Infrastructure Abstraction (Terraform)
    ↓
Cloud Provider APIs
    ↓
AWS / Azure / GCP / OCI

Cost Comparison

Compute Pricing Factors

  • AWS: On-demand, Reserved, Spot, Savings Plans
  • Azure: Pay-as-you-go, Reserved, Spot
  • GCP: On-demand, Committed use, Preemptible
  • OCI: Pay-as-you-go, annual commitments, burstable/flexible shapes, preemptible instances

Cost Optimization Strategies

  1. Use reserved/committed capacity (30-70% savings)
  2. Leverage spot/preemptible instances
  3. Right-size resources
  4. Use serverless for variable workloads
  5. Optimize data transfer costs
  6. Implement lifecycle policies
  7. Use cost allocation tags
  8. Monitor with cloud cost tools

Reference: See references/multi-cloud-patterns.md

Migration Strategy

Phase 1: Assessment

  • Inventory current infrastructure
  • Identify dependencies
  • Assess cloud compatibility
  • Estimate costs

Phase 2: Pilot

  • Select pilot workload
  • Implement in target cloud
  • Test thoroughly
  • Document learnings

Phase 3: Migration

  • Migrate workloads incrementally
  • Maintain dual-run period
  • Monitor performance
  • Validate functionality

Phase 4: Optimization

  • Right-size resources
  • Implement cloud-native services
  • Optimize costs
  • Enhance security

Best Practices

  1. Use infrastructure as code (Terraform/OpenTofu)
  2. Implement CI/CD pipelines for deployments
  3. Design for failure across clouds
  4. Use managed services when possible
  5. Implement comprehensive monitoring
  6. Automate cost optimization
  7. Follow security best practices
  8. Document cloud-specific configurations
  9. Test disaster recovery procedures
  10. Train teams on multiple clouds

Related Skills

  • terraform-module-library - For IaC implementation
  • cost-optimization - For cost management
  • hybrid-cloud-networking - For connectivity

Frequently asked questions

What to verify before installation and use

What does the multi-cloud-architecture source document cover?

Decision framework and patterns for architecting applications across AWS, Azure, GCP, and OCI.

How do I install multi-cloud-architecture?

The source record exposes this install command: npx skills add https://github.com/wshobson/agents --skill "plugins/cloud-infrastructure/skills/multi-cloud-architecture". Inspect the command and pinned source before running it.

Alternatives

Compare before choosing

Computed 10045,511

coreyhaines31/marketingskills

ab-testing

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program

Computed 10045,511

coreyhaines31/marketingskills

churn-prevention

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers o

Computed 10014,671

prowler-cloud/prowler

postgresql-indexing

PostgreSQL indexing best practices for Prowler: index design, partial indexes, partitioned table indexing, EXPLAIN ANALYZE validation, concurrent operations, monitoring, and maintenance. Trigger: When creating or modifying PostgreSQL indexes, analyzing query performance with EXPLAIN, debugging slow queries, reviewing index usage statistics, reindexing, dropping indexes, or working with partitioned table indexes. Also trigger when discussing index strategies, partial indexes, or index maintenance

Computed 100147

oaustegard/claude-skills

featuring

Generate hierarchical _FEATURES.md files that describe what a codebase DOES from a user/consumer perspective, anchored to source symbols via tree-sitting. Supports large complex codebases through feature-driven decomposition into sub-feature files. Uses a multi-pass synthesis: orientation → detail → overview rewrite. Use when someone says "what does this do", "document features", "feature inventory", "_FEATURES.md", or needs to understand a codebase's purpose before modifying it. Complements tre