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microsoft-foundry

Manage Azure AI Foundry agents, models, quotas, and RBAC.

Updated Apr 11, 2026
Search Tags:#rbac#model deployment#agent management#foundry#project creation#quota management#azure ai#resource creation
One-click install
npx skills add https://github.com/jgezelscorp/Apex --skill microsoft-foundry-jgezelscorp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: microsoft-foundry
Source: https://github.com/jgezelscorp/Apex/tree/main/.github/skills/microsoft-foundry
Command: npx skills add https://github.com/jgezelscorp/Apex --skill microsoft-foundry-jgezelscorp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires azure-cli, azure-identity, azure-ai-projects, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the management of Azure AI Foundry agents and models, enabling efficient deployment, evaluation, and troubleshooting.

Core Features & Use Cases

  • Agent Management: Deploy, invoke, evaluate, and troubleshoot Foundry agents.
  • Model Deployment: Deploy Azure OpenAI models with intelligent routing.
  • Quota Management: Monitor quota usage, find optimal regions, and request quota increases.
  • RBAC Management: Assign permissions, configure managed identities, and create service principals.
  • Project Creation: Create new Azure AI Foundry projects with optional hosted agents.
  • Resource Creation: Create Azure AI Services multi-service resources for Foundry.
  • Use Case: If you need to deploy a new agent, you can use this Skill to create the agent, deploy the code, and configure the necessary permissions.

Quick Start

Use the 'microsoft-foundry' skill to create a new Azure AI Foundry project.

Frequently Asked Questions about microsoft-foundry

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy Azure OpenAI models with intelligent routing in Azure AI Foundry?▼

Yes, you can deploy Azure OpenAI models with intelligent routing using this Skill. It handles the deployment configuration and applies intelligent routing logic automatically.

What is the best way to manage quotas and find optimal regions for Azure AI Foundry resources?▼

To manage quotas and find optimal regions for Azure AI Foundry resources, this Skill monitors quota usage and identifies optimal regions. It also facilitates requesting quota increases when needed.

How do I assign RBAC permissions and configure managed identities for Foundry agents?▼

To assign RBAC permissions and configure managed identities for Foundry agents, this Skill provides comprehensive RBAC management. It allows you to assign permissions, configure identities, and create service principals.

Do I need Azure CLI and Python SDKs to create Azure AI Foundry projects?▼

Yes, you need Azure CLI and Python SDKs like azure-identity and azure-ai-projects to create Azure AI Foundry projects. This Skill requires these dependencies to function properly.

Can I deploy and troubleshoot Foundry agents end-to-end?▼

Yes, you can deploy and troubleshoot Foundry agents end-to-end. This Skill supports agent deployment, invocation, evaluation, and troubleshooting to ensure your agents run smoothly.

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