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Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP.
Passed 20 of 22 test cases with the skill, and 17 of 22 without it.
3 fixed17 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
When evaluating multi-cloud financial projections, what baseline percentage savings range can our finance team expect by committing to reserved or committed capacity over on-demand compute rates?
| Checked | Without skill | With skill |
|---|---|---|
| The financial savings range indicates a 30% to 70% cost reduction. | Missed | Passed |
The instructions your model reads when the skill loads.
Decision framework and patterns for architecting applications across AWS, Azure, and GCP.
Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.
| AWS | Azure | GCP | Use Case |
|---|---|---|---|
| EC2 | Virtual Machines | Compute Engine | IaaS VMs |
| ECS | Container Instances | Cloud Run | Containers |
| EKS | AKS | GKE | Kubernetes |
| Lambda | Functions | Cloud Functions | Serverless |
| Fargate | Container Apps | Cloud Run | Managed containers |
| AWS | Azure | GCP | Use Case |
|---|---|---|---|
| S3 | Blob Storage | Cloud Storage | Object storage |
| EBS | Managed Disks | Persistent Disk | Block storage |
| EFS | Azure Files | Filestore | File storage |
| Glacier | Archive Storage | Archive Storage | Cold storage |
| AWS | Azure | GCP | Use Case |
test cases passed, vs 17 / 22 without
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