How do I install the Microsoft Foundry Ms skill?

Run npx skillmds@latest add jantoniofc/microsoft-foundry-ms in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Microsoft Foundry Ms safe to use?

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Which AI agents work with Microsoft Foundry Ms?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Microsoft Foundry Ms free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Microsoft Foundry Ms?

JantonioFC (@jantoniofc) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Microsoft Foundry Ms by jantoniofc — Agent Skill

Name: Microsoft Foundry Ms
Rating: 4.5 (4 reviews)
Author: JantonioFC

Microsoft Foundry Ms

Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models from catalog, build RAG applications with knowledge indexes, create and evaluate AI agents, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Micros...

JantonioFC Updated Sep 8, 2026 6 repo stars

File contents

Microsoft Foundry Skill

This skill helps developers work with Microsoft Foundry resources, covering model discovery and deployment, RAG (Retrieval-Augmented Generation) applications, AI agent creation, evaluation workflows, and troubleshooting.

Sub-Skills

This skill includes specialized sub-skills for specific workflows. Use these instead of the main skill when they match your task:

Sub-Skill	When to Use	Reference
project/create	Creating a new Azure AI Foundry project for hosting agents and models. Use when onboarding to Foundry or setting up new infrastructure.	project/create/create-foundry-project.md
resource/create	Creating Azure AI Services multi-service resource (Foundry resource) using Azure CLI. Use when manually provisioning AI Services resources with granular control.	resource/create/create-foundry-resource.md
models/deploy-model	Unified model deployment with intelligent routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI), and capacity discovery across regions. Routes to sub-skills: `preset` (quick deploy), `customize` (full control), `capacity` (find availability).	models/deploy-model/SKILL.md
agent/create/agent-framework	Creating AI agents and workflows using Microsoft Agent Framework SDK. Supports single-agent and multi-agent workflow patterns with HTTP server and F5/debug support.	agent/create/agent-framework/SKILL.md
quota	Managing quotas and capacity for Microsoft Foundry resources. Use when checking quota usage, troubleshooting deployment failures due to insufficient quota, requesting quota increases, or planning capacity.	quota/quota.md
rbac	Managing RBAC permissions, role assignments, managed identities, and service principals for Microsoft Foundry resources. Use for access control, auditing permissions, and CI/CD setup.	rbac/rbac.md

💡 Tip: For a complete onboarding flow: project/create → agent/create → agent/deploy. If the user wants to create AND deploy an agent, start with agent/create which can optionally invoke agent/deploy automatically.

💡 Model Deployment: Use models/deploy-model for all deployment scenarios — it intelligently routes between quick preset deployment, customized deployment with full control, and capacity discovery across regions.

SDK Quick Reference

Python

When to Use

Use this skill when you need guidance or automation for microsoft-foundry-ms.

---name: microsoft-foundry-msdescription: Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models from catalog, build RAG applications with knowledge indexes, create and evaluate AI agents, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Micros...license: MIT---# Microsoft Foundry SkillThis skill helps developers work with Microsoft Foundry resources, covering model discovery and deployment, RAG (Retrieval-Augmented Generation) applications, AI agent creation, evaluation workflows, and troubleshooting.## Sub-SkillsThis skill includes specialized sub-skills for specific workflows. **Use these instead of the main skill when they match your task:**| Sub-Skill | When to Use | Reference ||-----------|-------------|-----------|| **project/create** | Creating a new Azure AI Foundry project for hosting agents and models. Use when onboarding to Foundry or setting up new infrastructure. | [project/create/create-foundry-project.md](project/create/create-foundry-project.md) || **resource/create** | Creating Azure AI Services multi-service resource (Foundry resource) using Azure CLI. Use when manually provisioning AI Services resources with granular control. | [resource/create/create-foundry-resource.md](resource/create/create-foundry-resource.md) || **models/deploy-model** | Unified model deployment with intelligent routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI), and capacity discovery across regions. Routes to sub-skills: `preset` (quick deploy), `customize` (full control), `capacity` (find availability). | [models/deploy-model/SKILL.md](models/deploy-model/SKILL.md) || **agent/create/agent-framework** | Creating AI agents and workflows using Microsoft Agent Framework SDK. Supports single-agent and multi-agent workflow patterns with HTTP server and F5/debug support. | [agent/create/agent-framework/SKILL.md](agent/create/agent-framework/SKILL.md) || **quota** | Managing quotas and capacity for Microsoft Foundry resources. Use when checking quota usage, troubleshooting deployment failures due to insufficient quota, requesting quota increases, or planning capacity. | [quota/quota.md](quota/quota.md) || **rbac** | Managing RBAC permissions, role assignments, managed identities, and service principals for Microsoft Foundry resources. Use for access control, auditing permissions, and CI/CD setup. | [rbac/rbac.md](rbac/rbac.md) |> 💡 **Tip:** For a complete onboarding flow: `project/create` → `agent/create` → `agent/deploy`. If the user wants to **create AND deploy** an agent, start with `agent/create` which can optionally invoke `agent/deploy` automatically.> 💡 **Model Deployment:** Use `models/deploy-model` for all deployment scenarios — it intelligently routes between quick preset deployment, customized deployment with full control, and capacity discovery across regions.## SDK Quick Reference- [Python](references/sdk/foundry-sdk-py.md)## When to UseUse this skill when you need guidance or automation for microsoft-foundry-ms.

Frequently asked questions