customize

Official source

Interactive guided Azure OpenAI deployment giving full control over version, SKU, capacity, RAI policy, and advanced options, with cross-region fallback and live quota checks.

Source: Microsoft

GitHub Copilot · CompatibleClaude Code · CompatibleAI Agents & Automation

At a glance

Verified source
Best for
Deploying a model with a specific version, SKU, or exact capacity
Works with
GitHub Copilot · Claude Code
Outcome
Configuring content filtering (RAI policy) and advanced options
Source
microsoft/github-copilot-for-azure

01 / Understand the skill

About 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).

Not a fit when

DO NOT USE FOR: quick deployment to optimal region (use preset).

Read full description

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).

02 / Confirm the fit

Use customize when you need to

  • Deploying a model with a specific version, SKU, or exact capacity
  • Configuring content filtering (RAI policy) and advanced options
  • PTU/Provisioned Throughput deployments
  • Precise control beyond preset's automatic defaults

03 / See the workflow

How customize works

  1. 01Install: npx skills add https://github.com/microsoft/github-copilot-for-azure --skill customize
  2. 02Try: Deploy gpt-4o as ProvisionedManaged with 100 PTU and a custom content filter.
  3. 03Get: A guided deployment with confirmed config and a live endpoint plus portal link.

Check before installing

Compatible platforms

GitHub Copilot · Claude Code

Best fit

Deploying a model with a specific version, SKU, or exact capacity

Review the source instructions if the required output differs from the formats described above.

Install and use

Compatible with GitHub Copilot and Claude Code · Published by Microsoft

Ready to add customize?

Use the published instructions below, then provide the required input and describe the result you need.

General instructions · GitHub Copilot · Claude Code

npx skills add https://github.com/microsoft/github-copilot-for-azure --skill customize

Review the source repository and license before installing third-party skills.

Continue exploring

Similar skills

find-skillsOfficial

Discover and install agent skills from the open ecosystem via the npx skills CLI — when you wish you had a skill for some task.

End-to-end Azure AI Foundry agent lifecycle with azd—scaffold, deploy, invoke, evaluate, optimize, fine-tune, and troubleshoot agents—routing to specialized sub-skills per task.

finetuningOfficial

Fine-tunes models on Azure AI Foundry with SFT, DPO, or RFT, covering dataset prep and validation, grader calibration, training, checkpoint selection, deployment, and evaluation.

deploy-modelOfficial

Unified Azure OpenAI deployment router that detects intent and dispatches to quick preset, full customize, or capacity-discovery modes, with shared project and quota validation.