Skills

Chapter 34 of 37

Preset

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions.

2 minutes · 356 words · 11 sections

Deploy Model to Optimal Region

Automates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.

What This Skill Does

Verifies Azure authentication and project scope
Checks capacity in current project’s region
If no capacity: analyzes all regions and shows available alternatives
Filters projects by selected region
Supports creating new projects if needed
Deploys model with GlobalStandard SKU
Monitors deployment progress

Prerequisites

Azure CLI installed and configured
Active Azure subscription with Cognitive Services read/create permissions
Microsoft Foundry project resource ID (PROJECT_RESOURCE_ID env var or provided interactively)
- Format: /subscriptions/{sub-id}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project}
- Found in: Microsoft Foundry portal → Project → Overview → Resource ID

Quick Workflow

Fast Path (Current Region Has Capacity)

1. Check authentication → 2. Get project → 3. Check current region capacity
→ 4. Deploy immediately

Alternative Region Path (No Capacity)

1. Check authentication → 2. Get project → 3. Check current region (no capacity)
→ 4. Query all regions → 5. Show alternatives → 6. Select region + project
→ 7. Deploy

Deployment Phases

Phase	Action	Key Commands
1. Verify Auth	Check Azure CLI login and subscription	`az account show`, `az login`
2. Get Project	Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists	`az cognitiveservices account show`
3. Get Model	List available models, user selects model + version	`az cognitiveservices account list-models`
4. Check Current Region	Query capacity using GlobalStandard SKU	`az rest --method GET .../modelCapacities`
5. Multi-Region Query	If no local capacity, query all regions	Same capacity API without location filter
6. Select Region + Project	User picks region; find or create project	`az cognitiveservices account list`, `az cognitiveservices account create`
7. Deploy	Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment	`az cognitiveservices account deployment create`

For detailed step-by-step instructions, see workflow reference (opens in a new tab).

Error Handling

Error	Symptom	Resolution
Auth failure	`az account show` returns error	Run `az login` then `az account set --subscription <id>`
No quota	All regions show 0 capacity	Defer to the quota skill (opens in a new tab) for increase requests and troubleshooting; check existing deployments; try alternative models
Model not found	Empty capacity list	Verify model name with `az cognitiveservices account list-models`; check case sensitivity
Name conflict	“deployment already exists”	Append suffix to deployment name (handled automatically by `generate_deployment_name` script)
Region unavailable	Region doesn’t support model	Select a different region from the available list
Permission denied	“Forbidden” or “Unauthorized”	Verify Cognitive Services Contributor role: `az role assignment list --assignee <user>`

Advanced Usage

# Custom capacity
az cognitiveservices account deployment create ... --sku-capacity <value>

# Check deployment status
az cognitiveservices account deployment show --name <acct> --resource-group <rg> --deployment-name <name> --query "{Status:properties.provisioningState}"

# Delete deployment
az cognitiveservices account deployment delete --name <acct> --resource-group <rg> --deployment-name <name>

Notes

SKU: GlobalStandard only — API Version: 2024-10-01 (GA stable)

microsoft-foundry - Parent skill for Microsoft Foundry operations
quota (opens in a new tab) — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill
azure-quick-review - Review Azure resources for compliance
azure-cost-estimation - Estimate costs for Azure deployments
azure-validate - Validate Azure infrastructure before deployment

Install this repository

$ npx skills add microsoft/azure-skills

» /plugin marketplace add microsoft/azure-skills

Skills install per repository, not per chapter — the CLI has no documented per-skill form, so we do not print one.

About this skill

Trigger

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).

The verbatim description from this skill’s front matter — the string an agent matches on to decide whether to load it.

Licence: MIT
Also published for: GitHub — collapsed into this chapter because the copies are the same skill.
Source: skills/microsoft-foundry/models/deploy-model/preset/SKILL.md

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How this issue was made

Source

github.com/microsoft/azure-skills, branch main, last pushed 10 August 2026.

Licence

MIT — the text of every chapter is reproduced unmodified, frontmatter included, under the upstream licence.

Discovery

37 chapters found by walking the repository tree for SKILL.md, not by matching a directory convention. 6 distinct layouts observed: skills/*/SKILL.md, skills/azure-app-onboard/*/SKILL.md, skills/azure-kubernetes/*/SKILL.md, skills/microsoft-foundry/*/SKILL.md, skills/microsoft-foundry/models/deploy-model/*/SKILL.md, skills/microsoft-foundry/models/*/SKILL.md.

Duplicates collapsed

37 mirror copies folded into their canonical chapter — republished for GitHub. Copies match on content hash and on position once a leading per-agent prefix is stripped, because the same skill is routinely shipped under a dozen agent directories with a dozen different hashes.

Issue colours

Resolved from a curated brand profile — hue 251°, chroma 0.167. Two accent tones are generated per issue and each is proven against its own ground before it ships: a single accent that passes AA on both light and dark paper is arithmetically impossible.

Heading repairs

1 repair applied to this chapter so the document has one h1 and no skipped levels:

Shifted “11 headings” from h1 to h2 so the chapter title is the only h1.

Spec compliance

6 editorial notes across 3 of 37 chapters. They are printed in the margin of each chapter rather than as errors here.

Deploy — 2 notes
Prepare — 2 notes
Scaffold — 2 notes

Images

Images inside a chapter come from the upstream repository. Where the author gave no alternative text we mark the image decorative rather than inventing a description — a plausible caption we made up is worse than none for the reader who depends on it.

Marketplace

A plugin manifest is published at .claude-plugin/marketplace.json by Microsoft, declaring 1 plugin. It is read for editorial metadata only — never as the skill index, which is always the repository tree.

Signal

Install counts come from skills.sh. They measure downloads, not quality, and an unranked repository is not an unread one.

Agent surfaces

The whole issue is available as one markdown document at /microsoft/azure-skills.md, and each chapter at its own .md URL.

Publication

Set by Skills Docs from the source repository. Body text is Literata at the reader’s chosen size and measure; code is Geist Mono. Nothing on this page was written by us except this paragraph.

Deploy Model to Optimal Region

Automates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.

Verifies Azure authentication and project scope

Checks capacity in current project’s region

If no capacity: analyzes all regions and shows available alternatives

Filters projects by selected region

Supports creating new projects if needed

Deploys model with GlobalStandard SKU

Monitors deployment progress

Azure CLI installed and configured

Active Azure subscription with Cognitive Services read/create permissions

Microsoft Foundry project resource ID (PROJECT_RESOURCE_ID env var or provided interactively)

Format: /subscriptions/{sub-id}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project}
Found in: Microsoft Foundry portal → Project → Overview → Resource ID

1. Check authentication → 2. Get project → 3. Check current region capacity
→ 4. Deploy immediately

1. Check authentication → 2. Get project → 3. Check current region (no capacity)
→ 4. Query all regions → 5. Show alternatives → 6. Select region + project
→ 7. Deploy

Phase	Action	Key Commands
1. Verify Auth	Check Azure CLI login and subscription	`az account show`, `az login`
2. Get Project	Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists	`az cognitiveservices account show`
3. Get Model	List available models, user selects model + version	`az cognitiveservices account list-models`
4. Check Current Region	Query capacity using GlobalStandard SKU	`az rest --method GET .../modelCapacities`
5. Multi-Region Query	If no local capacity, query all regions	Same capacity API without location filter
6. Select Region + Project	User picks region; find or create project	`az cognitiveservices account list`, `az cognitiveservices account create`
7. Deploy	Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment	`az cognitiveservices account deployment create`

Error	Symptom	Resolution
Auth failure	`az account show` returns error	Run `az login` then `az account set --subscription <id>`
No quota	All regions show 0 capacity	Defer to the quota skill (opens in a new tab) for increase requests and troubleshooting; check existing deployments; try alternative models
Model not found	Empty capacity list	Verify model name with `az cognitiveservices account list-models`; check case sensitivity
Name conflict	“deployment already exists”	Append suffix to deployment name (handled automatically by `generate_deployment_name` script)
Region unavailable	Region doesn’t support model	Select a different region from the available list
Permission denied	“Forbidden” or “Unauthorized”	Verify Cognitive Services Contributor role: `az role assignment list --assignee <user>`

# Custom capacity
az cognitiveservices account deployment create ... --sku-capacity <value>

# Check deployment status
az cognitiveservices account deployment show --name <acct> --resource-group <rg> --deployment-name <name> --query "{Status:properties.provisioningState}"

# Delete deployment
az cognitiveservices account deployment delete --name <acct> --resource-group <rg> --deployment-name <name>

SKU: GlobalStandard only — API Version: 2024-10-01 (GA stable)

microsoft-foundry - Parent skill for Microsoft Foundry operations

quota (opens in a new tab) — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill

azure-quick-review - Review Azure resources for compliance

azure-cost-estimation - Estimate costs for Azure deployments

azure-validate - Validate Azure infrastructure before deployment

Preset

Deploy Model to Optimal Region

What This Skill Does

Prerequisites

Quick Workflow

Fast Path (Current Region Has Capacity)

Alternative Region Path (No Capacity)

Deployment Phases

Error Handling

Advanced Usage

Notes

About this skill

Trigger

Colophon

Preset

Deploy Model to Optimal Region

What This Skill Does

Prerequisites

Quick Workflow

Fast Path (Current Region Has Capacity)

Alternative Region Path (No Capacity)

Deployment Phases

Error Handling

Advanced Usage

Notes

Appendix 34.1–34.3

ReferencesMarkdown · 2 files

Also bundledMarkdown · 1 file

About this skill

Trigger

Colophon

Appendix 34.1–34.3

ReferencesMarkdown · 2 files

Also bundledMarkdown · 1 file