Unified Azure OpenAI model deployment skill with intelligent intent-based routing.
Part of Azure SkillsPack · 35 skills
by microsoft· Cloud & DevOpsUnclaimed · Yours? Claim it
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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).
Skills people install alongside deploy-model.
Runs on your machine.
Runs on your machine.
Runs on your machine.
Runs on your machine.
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npx -y degit microsoft/skills/.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model ~/.agents/skills/deploy-model
Runs on your machine.
Runs on your machine.
npx -y degit microsoft/skills/.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model ~/.gemini/skills/deploy-model
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Write a reviewSkills people install alongside deploy-model.
Microsoft's Azure know-how for your coding agent: prepare and deploy apps, run AKS, Azure AI, storage and identity.
Keep your agent's Terraform and OpenTofu correct: a failure-mode workflow against state churn, leaked secrets, blast radius and CI drift.
Makes your agent diagnose Kubernetes failure modes before writing YAML, so manifests, Helm charts and RBAC come out secure and current.
Gives a local app a public HTTPS URL through self-hosted or public relays, then checks it works. No accounts, port forwarding or DNS setup.
Nobody has shared how they use deploy-model yet.
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Safe to install in every agent it supports. Runs in your agent, as instructions.