Deploy Model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing.
Install
npx skills add microsoft/azure-skills --skill deploy-model -g -a claude-code -y- Repository
- microsoft/azure-skills1.6k
- Category
- AI and agents
- Updated
- 5d ago
- License
- MIT
- Context cost
- Mediumabout 1,608 tokens
- Runs scripts
- Yes, review before use
What it does
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Deploy Model
Scope, read this first. This skill creates model deployments out-of-band via Azure CLI / MCP / portal. For azd-managed Foundry projects (those scaffolded from
azd ai agent init), declare deployments inazure.yaml services.ai-project.deployments[]instead,azd ai agent initwrites the entry from the sample manifest andazd provisioncreates the deployment through Bicep. See foundry-agent/create/create-hosted.md for the Golden Path. Use this skill only for: (a) Foundry projects not managed by an azd project, (b) ad-hoc deployments outside the azd lifecycle.
Unified entry point for all Azure OpenAI model deployment workflows. Analyzes user intent and routes to the appropriate deployment mode.
Quick Reference
| Mode | When to Use | Sub-Skill |
|---|---|---|
| Preset | Quick deployment, no customization needed | preset/SKILL.md |
| Customize | Full control: version, SKU, capacity, RAI policy | customize/SKILL.md |
| Capacity Discovery | Find where you can deploy with specific capacity | capacity/SKILL.md |
Intent Detection
Analyze the user's prompt and route to the correct mode:
