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Azure Cloud Architect · borghei | DecimalAI

devopsby borghei

Azure Cloud Architect

borghei/azure-cloud-architect

Source borghei/claude-skills ↗License NOASSERTION

Design, review, and validate Azure cloud architectures.

SkillScore78Maintained

Automatic

DevOps & SRE pack

Last verified 8/20/2026

What it changes

Passed 18 of 23 test cases with the skill, and 9 of 23 without it.

Without skill39%

With skill78%

Checks it passed that the model alone missed

Includes the --bicep flag targeting ./infra/*.bicep.
Directs the user to references/azure-decision-trees.md.
Directs the user to references/azure-well-architected.md.

and 9 more in the full report

9 fixed9 passed either way5 still failing0 broke

Pass-rate lift: +39 pp
Tokens: +48%
Agent turns: 0%
Response time: -24%

Model gemini-3.6-flashMeasured 8/20/2026v118 of 23 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/borghei-azure-cloud-architect/SKILL.md https://app.decimal.ai/s/borghei-azure-cloud-architect/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add borghei-azure-cloud-architect, 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/borghei-azure-cloud-architect/ and pins it in .decimal/skills.lock

decimalai skills add borghei-azure-cloud-architect

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

curl -fsSL --create-dirs -o .claude/skills/borghei-azure-cloud-architect/SKILL.md https://app.decimal.ai/s/borghei-azure-cloud-architect/SKILL.md

Raw file: /s/borghei-azure-cloud-architect/SKILL.md ↗ · machine-readable summary at /s/borghei-azure-cloud-architect.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 9

Prompt

We have defined an Azure deployment specification inside `workload.yaml`. What is the exact command line invocation to generate a monthly cloud expenditure estimate from this spec?

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies python scripts/azure_cost_estimator.py in the command.	Missed	Passed
Includes the --workload-config flag passing workload.yaml.	Missed	Passed

case-04 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md62 lines9 filesincludes scripts

Azure Cloud Architect

End-to-end Azure-specific architecture: service selection, Well-Architected Framework assessment, identity and networking patterns, cost optimization, and operational defaults. Provider-specific complement to our generic senior-cloud-architect skill — that one covers cross-cloud patterns; this one knows AKS pricing tiers, when to pick Cosmos over SQL DB, and how Front Door differs from Application Gateway.

Core Capabilities

Compute selection — decision tree across AKS, App Service, Container Apps, Functions, VMs/VMSS, Batch, Static Web Apps, and API gateways.
Data store selection — relational, NoSQL/document, cache, blob, time-series, search, vector, and warehouse decision trees.
Networking design — VNets, Private/Service Endpoints, gateways (App Gateway, Front Door, Firewall, NAT, VPN/ER), hub-and-spoke and Private Link patterns.
Identity design — Entra ID, Managed Identity (system/user-assigned), Workload Identity, Service Principals, and least-privilege RBAC scoping.
WAF assessment — score workloads across Reliability, Security, Cost, Operational Excellence, and Performance Efficiency pillars.
Cost optimization — right-sizing, reservations, autoscaling, spot, storage tiering, and egress-reduction levers with anti-pattern detection.

When to Use

Situation	Skill applies
Designing an Azure architecture from scratch	Yes — start with the compute decision tree
Reviewing an existing Azure architecture	Yes — run WAF assessment via `scripts/azure_waf_scorer.py`
Validating an ARM/Bicep/Terraform plan	Yes — `scripts/azure_architecture_validator.py`
Estimating Azure cost for a workload	Yes — `scripts/azure_cost_estimator.py`
Picking compute, data store, networking, or identity	Yes — see the decision-trees reference
Going to production without WAF review	Don't — run the WAF scorer first

Clarify First

Before designing or assessing, confirm these inputs. If any is unknown or vague, ASK — do not assume:

Task — design from scratch, review an existing architecture, validate IaC, or estimate cost (selects azure_architecture_validator.py vs azure_cost_estimator.py vs azure_waf_scorer.py)
Workload spec — the YAML workload config, or the Bicep/ARM/Terraform files (the input the scripts parse)
Priority pillar — reliability, security, cost, operational excellence, or performance (weights the WAF assessment and which recommendations lead)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Tools

Tool	Purpose	Command
`azure_architecture_validator.py`	Validate a Bicep/ARM/YAML workload for anti-patterns and missing best-practice settings	`python scripts/azure_architecture_validator.py --bicep ./infra/*.bicep`
`azure_cost_estimator.py`	Estimate monthly Azure cost from a YAML workload spec	`python scripts/azure_cost_estimator.py --workload-config workload.yaml`

Track record

Benchmark

18 / 23

test cases passed, vs 9 / 23 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

borghei / claude-skills

engineering/azure-cloud-architect/SKILL.md

View on GitHub ↗

License MIT + Commons ClauseImported 8/3/2026Version v1Bundled 8 files · scripts

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See it in action

What's inside

Azure Cloud Architect

Core Capabilities

When to Use

Clarify First

Tools

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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