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microsoft-foundry

Manage Foundry agent and model deployment, evaluation, optimization, and troubleshooting.

12|1|Updated Mar 15, 2026
Search Tags:#deployment#agent management#foundry#model management#azure ai foundry
One-click install
npx skills add https://github.com/jorgeasaurus/agent-skills --skill microsoft-foundry-jorgeasaurus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: microsoft-foundry
Source: https://github.com/jorgeasaurus/agent-skills/tree/main/microsoft-foundry
Command: npx skills add https://github.com/jorgeasaurus/agent-skills --skill microsoft-foundry-jorgeasaurus

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive management for Foundry agents and models, including deployment, evaluation, optimization, and troubleshooting.

Core Features & Use Cases

  • Deployment: Deploy, evaluate, and manage Foundry agents and models.
  • Evaluation: Evaluate agent quality, run batch evals, and analyze failures.
  • Optimization: Optimize prompts, improve agent instructions, and fine-tune models.
  • Troubleshooting: Troubleshoot deployment failures, view logs, and diagnose issues.
  • Use Case: You have a Foundry project with a trained model. You want to deploy the model to Azure AI Foundry, set up continuous evaluation, and troubleshoot any issues that arise.

Quick Start

Use the 'deploy-model' sub-skill to deploy your model to Azure AI Foundry.

Frequently Asked Questions about microsoft-foundry

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

FAQPage Schema
How do I deploy a trained model to Azure AI Foundry?▼

You can deploy a trained model to Azure AI Foundry by using the deploy-model capability, which manages the deployment process for Foundry agents and models. It requires appropriate Azure AI Foundry access and permissions to execute successfully.

Can I run batch evaluations on Foundry agents?▼

Yes, Foundry agents support batch evaluations to analyze agent quality and identify failures. The evaluation feature allows you to run batch evals on your deployed agents and review the results for quality assessment.

What's the best way to troubleshoot deployment failures in Azure AI Foundry?▼

Troubleshooting deployment failures in Azure AI Foundry involves viewing logs and diagnosing issues through the management interface. The Skill provides specific troubleshooting capabilities to help identify and resolve deployment problems.

Do I need special permissions to manage Foundry agents and models?▼

Yes, managing Foundry agents and models requires access to Azure AI Foundry and the appropriate permissions. Without proper authorization, you cannot deploy, evaluate, or optimize agents within the Foundry environment.

How do I optimize prompts and fine-tune models in Azure AI Foundry?▼

Optimizing prompts and fine-tuning models in Azure AI Foundry uses the optimization feature to improve agent instructions and enhance model performance. This capability supports various optimization techniques for deployed Foundry agents.

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