Agent skill · software engineering · aiskillstore
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).
Why this skill is useful
Adds executable scripts for deploying Azure OpenAI models based on real-time capacity checks across regions, which are not covered in public documentation.
What it needs
Requires azure-cli installed locally. Requires azure account access. About 3k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 (PROJECTRESOURCEID 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) Alternative Region Path (No Capacity) --- Deployment Phases Phase Action Key Commands ------- -------- ------------- 1. Verify Auth Check Azure CLI login and subscription az account show, az login 2. Get Project Parse PROJECTRESOURCEID 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/preset