Agent skill · DevOps & Cloud

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).

Microsoft293,217★ · +1,988/wk · 14 repos on radarProfile →
claude-codeMIT
Install
npx skills add microsoft/azure-skills --skill customize --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 9 KB
Bundled scripts: none
Version: 1.0.1
Declared author: Microsoft
Path: skills/microsoft-foundry/models/deploy-model/customize/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,353
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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) | ## When to Use This Skill Use this skill when you need **precise control** over deployment configuration: - ✅ **Choose specific model version** (not just latest) - ✅ **Select deployment SKU** (GlobalStandard vs Standard vs PTU) - ✅ **Set exact capacity** within available range - ✅ **Configure content filtering** (RAI policy selection) - ✅ **Enable advanced features** (dynamic quota, priority processing, spillover) - ✅ **PTU deployments** (Provisioned Throughput Units) **Alternative:** Use `preset` for quick deployment to the best available region

What's inside
Steps it walks through
  1. Quick Reference
  2. When to Use This Skill
  3. Comparison: customize vs preset
  4. Prerequisites
  5. Workflow Overview
  6. Complete Flow (14 Phases)
  7. Fast Path (Defaults)
  8. Phase Summaries
  9. Error Handling
  10. Common Issues and Resolutions
  11. Troubleshooting Commands
  12. Selection Guides & Advanced Topics
  13. Related Skills
  14. Notes
Ships with 3 files
  • EXAMPLES.md
  • references/customize-guides.md
  • references/customize-workflow.md
Commands it runs
Check deployment status
az cognitiveservices account deployment show --name <account> --resource-group <rg> --deployment-name <name>
List all deployments
az cognitiveservices account deployment list --name <account> --resource-group <rg> -o table
Check quota usage
az cognitiveservices usage list --name <account> --resource-group <rg>
Delete failed deployment
az cognitiveservices account deployment delete --name <account> --resource-group <rg> --deployment-name <name>
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About this skill
What does the customize skill do?

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).

How do I install it?

Run `npx skills add microsoft/azure-skills --skill customize --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From microsoft/azure-skills, a repository with 1,353 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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