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Multi-Cloud Architecture · wshobson | DecimalAI

devopsby wshobson

Multi-Cloud Architecture

wshobson/multi-cloud-architecture

Source wshobson/agents ↗License MIT

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI.

SkillScore100Maintained

Automatic

DevOps & SRE pack

Last verified 8/7/2026

What it changes

Passed 25 of 25 test cases with the skill, and 23 of 25 without it.

Without skill92%

With skill100%

Checks it passed that the model alone missed

Recommends Prometheus for cloud-agnostic metrics collection.
Places Terraform as the infrastructure abstraction layer between application code and provider APIs.

2 fixed23 passed either way0 still failing0 broke

Pass-rate lift: +8 pp
Tokens: +30%
Agent turns: 0%
Response time: -15%

Model gemini-3.6-flashMeasured 8/7/2026v125 of 25 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/wshobson-multi-cloud-architecture/SKILL.md https://app.decimal.ai/s/wshobson-multi-cloud-architecture/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add wshobson-multi-cloud-architecture, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/wshobson-multi-cloud-architecture/ and pins it in .decimal/skills.lock

decimalai skills add wshobson-multi-cloud-architecture

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/wshobson-multi-cloud-architecture/SKILL.md https://app.decimal.ai/s/wshobson-multi-cloud-architecture/SKILL.md

Raw file: /s/wshobson-multi-cloud-architecture/SKILL.md ↗ · machine-readable summary at /s/wshobson-multi-cloud-architecture.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 2

Prompt

Our enterprise wants to adopt a multi-cloud deployment model to handle cross-cloud failover, meet regional data sovereignty laws, and leverage specialized vendor capabilities like AI or enterprise platforms. Please present an architectural framework comparing the major multi-cloud design patterns, explaining the core trade-offs of each approach, and describing how to structure the infrastructure abstraction layer.

What was checked, without and with the skill
Checked	Without skill	With skill
Places Terraform as the infrastructure abstraction layer between application code and provider APIs.	Missed	Passed

case-01 · gemini-3.6-flash · 8/7/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md174 lines3 files

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

AWS	Azure	GCP	OCI	Use Case
EC2	Virtual Machines	Compute Engine	Compute	IaaS VMs
ECS	Container Instances	Cloud Run	Container Instances	Containers
EKS	AKS	GKE	OKE	Kubernetes
Lambda	Functions	Cloud Functions	Functions	Serverless
Fargate	Container Apps	Cloud Run	Container Instances	Managed containers

Storage Services

AWS	Azure	GCP	OCI	Use Case
S3	Blob Storage	Cloud Storage	Object Storage	Object storage
EBS	Managed Disks	Persistent Disk	Block Volumes	Block storage
EFS	Azure Files	Filestore	File Storage	File storage
Glacier	Archive Storage	Archive Storage	Archive Storage	Cold storage

Database Services

| AWS | Azure | GCP | OCI | Use Case |

Track record

Benchmark

25 / 25

test cases passed, vs 23 / 25 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

wshobson / agents

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

View on GitHub ↗

License MITImported 8/3/2026Version v1Bundled 2 files

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Published skills whose descriptions closely match this one, with their headline benchmark lift.

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See it in action

What's inside

Multi-Cloud Architecture

Purpose

When to Use

Cloud Service Comparison

Compute Services

Storage Services

Database Services

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills