Agent skill · software engineering · aiskillstore
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).
Why this skill is useful
Adds a complete interactive deployment script for Azure OpenAI models with customization options that are not available in public documentation.
What it needs
Requires azure-cli installed locally. Requires azure account access. About 5k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 with automatic configuration. Comparison: customize vs preset Feature customize preset --------- --------------------- ---------------------------- Focus Full customization control Optimal region selection Version Selection User chooses from available Uses latest automatically SKU Selection User chooses (GlobalStandard/Standard/PTU) GlobalStandard only Capacity User specifies exact value Auto-calculated (50% of available) RAI Policy User selects from options Default policy only Region Current region first, falls back to all regions if no capacity Checks capacity across all regions upfront Use Case Precise deployment requirements Quick deployment to best region Prerequisites Azure subscription with Cognitive Services Contributor or Owner role Azure AI Foundry project resource ID (format: /subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project}) Azure CL …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/customize