microsoft-foundry

Automate Microsoft Foundry project onboarding, resource provisioning, and agent deployment.

Updated May 25, 2026

Search Tags:#deployment #evaluation #rbac #quota #foundry #azure-foundry

Ready to run

npx skills add https://github.com/Chieji/my-skills --skill microsoft-foundry-chieji

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: microsoft-foundry
Source: https://github.com/Chieji/my-skills/tree/main/microsoft-foundry
Command: npx skills add https://github.com/Chieji/my-skills --skill microsoft-foundry-chieji

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates the end-to-end lifecycle of Microsoft Foundry resources, including project onboarding, resource provisioning, agent and model deployment, RBAC configuration, quota planning, dataset and evaluator setup, and observability integration.

Core Features & Use Cases

Onboard new Foundry projects and enable hosted agents with RBAC, ACR, and monitoring stacks.
Deploy agents and models across regions with capacity awareness, quota checks, and automated rollback/fallback.
Set up evaluation pipelines, datasets, evaluators, and trace-to-dataset workflows to support eval-driven optimization.
Maintain governance and reproducibility through versioned datasets, test cases, and lineage tracking.

Quick Start

Deploy a new Foundry project with hosting enabled and an initial model deployment to begin testing and evaluation.

Frequently Asked Questions about microsoft-foundry

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

FAQPage Schema

How do I automate Foundry project onboarding and resource provisioning?▼

Deploy agents and models across regions with capacity awareness, quota checks, and automated rollback or fallback. This cross-region deployment approach ensures resource availability while maintaining governance through automated capacity planning and quota validation.

How do I set up evaluation pipelines and datasets in Foundry?▼

Set up evaluation pipelines by configuring datasets, evaluators, and trace-to-dataset workflows to support eval-driven optimization. Maintain reproducibility through versioned datasets, test cases, and lineage tracking throughout the evaluation process.

Can I configure RBAC and quota management for Foundry deployments?▼

Configure RBAC and quota management during Foundry project onboarding and resource provisioning. The deployment enforces governance through role-based access control, capacity planning, and quota checks across all agent and model deployments.

What's the best way to manage the Foundry deployment lifecycle end-to-end?▼

Manage the Foundry deployment lifecycle by automating project onboarding, resource provisioning, agent and model deployment, RBAC configuration, quota planning, and observability integration. This end-to-end approach enforces governance and reproducibility across all operations.

Does Foundry deployment support cross-region capacity awareness and automated rollback?▼

Foundry deployment supports cross-region capacity awareness with automated rollback and fallback for agent and model deployments. Capacity planning and quota checks are enforced before deployment to ensure resource availability across regions.