deploy-model
Official sourceUnified Azure OpenAI deployment router that detects intent and dispatches to quick preset, full customize, or capacity-discovery modes, with shared project and quota validation.
Source: Microsoft
At a glance
Verified source- Best for
- A single entry point for any Azure OpenAI deployment task
- Works with
- GitHub Copilot · Claude Code
- Outcome
- Letting intent routing pick quick vs customized deployment
- Source
- microsoft/github-copilot-for-azure
01 / Understand the skill
About 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).
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.
Not a fit when
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).
Read full description
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).
02 / Confirm the fit
Use deploy-model when you need to
- A single entry point for any Azure OpenAI deployment task
- Letting intent routing pick quick vs customized deployment
- Chaining capacity discovery into a deploy
- Confirming the target project before deploying
03 / See the workflow
How deploy-model works
- 01Install: npx skills add https://github.com/microsoft/github-copilot-for-azure --skill deploy-model
- 02Try: Deploy gpt-4o with 10K capacity to the best available region.
- 03Get: A routed deployment (capacity then preset/customize) with a confirmed target project.
Check before installing
Compatible platforms
GitHub Copilot · Claude Code
Best fit
A single entry point for any Azure OpenAI deployment task
Review the source instructions if the required output differs from the formats described above.
Install and use
Compatible with GitHub Copilot and Claude Code · Published by Microsoft
Ready to add deploy-model?
Use the published instructions below, then provide the required input and describe the result you need.
General instructions · GitHub Copilot · Claude Code
npx skills add https://github.com/microsoft/github-copilot-for-azure --skill deploy-model
Review the source repository and license before installing third-party skills.
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