Agent skill · software engineering · aiskillstore
deploy-model
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).
Why this skill is useful
Adds executable scripts for deploying Azure OpenAI models with intelligent routing based on user intent, which are not available in public documentation.
What it needs
Requires azure-cli installed locally. Requires azure account access. About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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-starter-basic or via azd ai agent init), declare deployments in azure.yaml services.ai-project.deployments[] instead — azd ai agent init writes the entry from the sample manifest and azd provision creates 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: Routing Rules Signal in Prompt Route To Reason ------------------ ---------- -------- Just model name, no options Preset User wants quick deployment "custom", "configure", "choose", "select" Customize User wants control "find", "check", "where", "which region", "available" Capacity User wants discovery Specific capacity number + "best region" Capacity → Preset Discover then deploy quickly Specific capacity number + "custom" keywords Capacity → Customize Discover then deploy with options "PTU", "provisioned throughput" Customize PTU requires SKU selection "optimal region", "best region" (no capacity target) Preset Region optimization is preset's specialty Multi-Mode Chaining Some prompts require two modes in sequence: Pattern: Capacity → Deploy When a user specifies a capacity requirement AND wants deployment: 1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/deploy-model