deploy-model Skill
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 m Published by microsoft in GitHub-Copilot-for-Azure.
What is deploy-model Skill?
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 m Published by microsoft in GitHub-Copilot-for-Azure. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Deployment use cases
Technical details
- Install or run with Copy skill directory
When to use deploy-model Skill
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/GitHub-Copilot-for-Azure
- Skill file: plugin/skills/microsoft-foundry/models/deploy-model/SKILL.md
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 m
Skill instructions
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 Di
Explore related resources
Frequently asked questions
What is deploy-model?
deploy-model is a open-source AI agent skill with Copy skill directory. 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.
Who is deploy-model best for?
deploy-model is best for reusing agent instructions, scripts, and references, deployment workflows.
How do I install deploy-model?
Install or run deploy-model using Copy skill directory. Check deploy-model for the latest setup command.
Is deploy-model actively maintained?
deploy-model may need a closer maintenance check before production use.
Auto-fetched from GitHub.
