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Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

88

4.45x
Quality

85%

Does it follow best practices?

Impact

89%

4.45x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Evaluation results

77%

50%

Production Document Processing Pipeline Deployment

PTU deployment sizing and configuration

Criteria
Without context
With context

Live SKU query

20%

100%

SKU quota check

50%

100%

Capacity REST API

30%

100%

PTU capacity min/step

0%

100%

PTU capacity max

0%

100%

PTU default capacity

0%

100%

PTU formula

0%

100%

Priority processing availability

0%

62%

Dynamic quota availability

0%

0%

Version upgrade policy

100%

37%

Deployment name validation

0%

12%

Model format detection

100%

100%

Deployment status polling

50%

100%

100%

82%

Clinical Documentation Assistant — Azure AI Foundry Deployment

Anthropic model deployment via ARM REST API

Criteria
Without context
With context

ARM REST API used

57%

100%

modelProviderData in body

0%

100%

Industry field present

0%

100%

Industry not hardcoded

0%

100%

Industry list presented

0%

100%

Tenant API call

0%

100%

countryCode in payload

0%

100%

organizationName in payload

0%

100%

Capacity set to 1

100%

100%

No RAI policy

0%

100%

No version upgrade policy

0%

100%

92%

77%

Quota-Resilient Deployment Automation for Azure AI Foundry

Cross-region capacity fallback and deployment guards

Criteria
Without context
With context

SKU quota filter

12%

37%

Quota key pattern

0%

100%

Regional capacity REST API

0%

100%

Deployment blocked on failure

66%

100%

Cross-region global endpoint

0%

100%

Cross-region capacity filter

50%

100%

Cross-region sorted descending

0%

100%

AI project listing in fallback region

0%

100%

No-project fallback message

0%

100%

Deployment name validation

20%

100%

Only deployable SKUs shown

0%

50%

Repository
microsoft/azure-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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