microsoft-foundry

Official source

End-to-end Azure AI Foundry agent lifecycle with azd—scaffold, deploy, invoke, evaluate, optimize, fine-tune, and troubleshoot agents—routing to specialized sub-skills per task.

Source: Microsoft

GitHub Copilot · CompatibleClaude Code · CompatibleAI Agents & Automation

At a glance

Verified source
Best for
Building, deploying, and invoking hosted or prompt Foundry agents
Works with
GitHub Copilot · Claude Code
Outcome
Running batch and continuous evaluation and prompt optimization
Source
microsoft/github-copilot-for-azure

01 / Understand the skill

About microsoft-foundry

Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT).

Not a fit when

DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

Read full description

Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

02 / Confirm the fit

Use microsoft-foundry when you need to

  • Building, deploying, and invoking hosted or prompt Foundry agents
  • Running batch and continuous evaluation and prompt optimization
  • Provisioning Foundry projects, models, RBAC, and quota
  • Orchestrating the full create-deploy-observe agent loop with azd

03 / See the workflow

How microsoft-foundry works

  1. 01Install: npx skills add https://github.com/microsoft/github-copilot-for-azure --skill microsoft-foundry
  2. 02Try: Create a new hosted Foundry agent end-to-end and smoke-test it.
  3. 03Get: A scaffolded, provisioned, deployed agent with an eval suite and invocation results.

Check before installing

Compatible platforms

GitHub Copilot · Claude Code

Best fit

Building, deploying, and invoking hosted or prompt Foundry agents

Review the source instructions if the required output differs from the formats described above.

Install and use

Compatible with GitHub Copilot and Claude Code · Published by Microsoft

Ready to add microsoft-foundry?

Use the published instructions below, then provide the required input and describe the result you need.

General instructions · GitHub Copilot · Claude Code

npx skills add https://github.com/microsoft/github-copilot-for-azure --skill microsoft-foundry

Review the source repository and license before installing third-party skills.

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