preset
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).
Profile →npx skills add microsoft/azure-skills --skill preset --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 1. Verifies Azure authentication and project scope 2. Checks capacity in current project's region 3. If no capacity: analyzes all regions and shows available alternatives 4. Filters projects by selected region 5. Supports creating new projects if needed 6. Deploys model with GlobalStandard SKU 7. Monitors deployment progress ## Prerequisites - Azure CLI installed and configured - Active Azure subscription with Cognitive Services read/create permissions - Azure AI 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: Azure AI 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 proje
- 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
- Related Skills
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>What does the preset skill do?
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).
How do I install it?
Run `npx skills add microsoft/azure-skills --skill preset --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.