Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
Install with Tessl CLI
npx tessl i github:wshobson/agents --skill multi-cloud-architecture69
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillAgent success when using this skill
Validation for skill structure
Cloud-agnostic technology selection
Kubernetes orchestration
100%
100%
PostgreSQL or MySQL database
100%
100%
Apache Kafka for messaging
100%
100%
Redis for caching
100%
100%
S3-compatible object storage
100%
100%
Prometheus and Grafana monitoring
100%
100%
Istio or Linkerd service mesh
100%
100%
Terraform or OpenTofu IaC
100%
100%
Managed Kafka service named
100%
100%
Managed Redis service named
100%
100%
Without context: $0.2163 · 1m 45s · 10 turns · 11 in / 3,000 out tokens
With context: $0.3672 · 1m 46s · 16 turns · 262 in / 4,675 out tokens
Multi-cloud migration planning
Four phases present
50%
100%
Assessment activities
70%
100%
Pilot activities
80%
100%
Migration activities
80%
100%
Optimization phase
100%
100%
ML workloads on GCP
100%
100%
Enterprise apps on Azure
100%
100%
General compute on AWS
100%
100%
Reserved capacity savings
100%
100%
Phase summary JSON
100%
100%
Without context: $0.2774 · 1m 41s · 10 turns · 10 in / 4,903 out tokens
With context: $0.4664 · 2m 13s · 21 turns · 21 in / 6,016 out tokens
Best-of-breed placement and cost optimization
Geographic distribution pattern
100%
100%
Data sovereignty mention
0%
87%
Regional failover design
100%
100%
Automated failover
100%
100%
Reserved capacity strategy
100%
100%
Cost allocation tags
100%
100%
Lifecycle policies
0%
100%
CI/CD for deployments
100%
100%
Spot or preemptible instances
100%
100%
Cost strategies JSON
100%
100%
Without context: $0.2464 · 1m 33s · 9 turns · 10 in / 4,322 out tokens
With context: $0.4146 · 2m 15s · 18 turns · 16 in / 5,803 out tokens
Table of Contents
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