Individual skill

customize

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).

skills/microsoft-foundry/models/deploy-model/customize/SKILL.md

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Repository stars (not skill ratings): 1,628
Repository last updated: Nov 6, 2026
License: MIT

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EXAMPLES.mddoc · 4,402 bytes
SKILL.mdcore · 8,988 bytes
SKILL.mdcore · 8,988 bytes
references/customize-guides.mddoc · 3,487 bytes
references/customize-workflow.mddoc · 13,403 bytes

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# Customize Model Deployment

Interactive guided workflow for deploying Azure OpenAI models with full customization control over version, SKU, capacity, content filtering, and advanced options.

## Quick Reference

| Property | Description |
|----------|-------------|
| **Flow** | Interactive step-by-step guided deployment |
| **Customization** | Version, SKU, Capacity, RAI Policy, Advanced Options |
| **SKU Support** | GlobalStandard, Standard, ProvisionedManaged, DataZoneStandard |
| **Best For** | Precise control over deployment configuration |
| **Authentication** | Azure CLI (`az login`) |
| **Tools** | Azure CLI, MCP tools (optional) |