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/microsoft-foundry

@04110d9
by microsoftmicrosoft/skills3.1k stars
351

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

Ask your Agent

Use this Skill: https://skilld.dev/gh/microsoft/skills/microsoft-foundry

This session only. Nothing lands on disk.

resourceprivate-networkreferencesscaffold.md

≈444 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Scaffold & Parameterize

Use this reference to fetch the confirmed template and wire up parameters.

Path A — OFFICIAL / ADAPT

If the user has no GitHub access, the template must already be present in the workspace. Do NOT attempt to fetch from GitHub.

Fetch the template from the GitHub URL in template-index.md. Choose Bicep or Terraform based on the user's preference or existing workspace files. Fetch the entire template folder including subdirectories. Create the files in the user's workspace (e.g., infra/ folder).

For ADAPT: after fetching, modify the template to match the user's requirements before parameterizing.

Path B — EXTEND

If the user has existing Bicep or Terraform templates they want to extend, load custom-template-adaptation.md. Follow the gap analysis there: read the user's template, identify what's present, add only the missing mandatory resources.

Set parameter values using the answers collected in intake.md:

Parameter Source
Location Region (or inferred from existing VNet)
VNet name / resource ID VNet answer (new or existing)
VNet address space Address space from requirements (default 192.168.0.0/16)
Subnet CIDRs Subnet answers (agent /24, PE /24, MCP /24 if needed)
Existing Cosmos DB / Storage / AI Search IDs BYO resource IDs (only if reusing)
Isolation mode (T18 only) Managed VNet outbound mode (AllowOnlyApprovedOutbound or AllowInternetOutbound)
Model name, version, format Model selection from requirements
disableLocalAuth Set true if Azure Policy requires it

Do NOT run az deployment group create yet — validate first (next step).

Source: SKILL.md on GitHub

Third-party checks

2 warnings3d4 checks · Risk SAFE
  • Gen Agent Trust Hub3d

    This skill provides a comprehensive environment for managing the end-to-end lifecycle of AI agents, models, and infrastructure on Microsoft Foundry. It includes sub-skills for deployment, evaluation, fine-tuning, and troubleshooting. The skill utilizes dynamic code execution and shell command wrappers, which are used within the context of local development and cloud orchestration. All external resources and dependencies originate from trusted organizations and well-known services.

  • Socket3d

    2 alerts: gptSecurity, gptAnomaly

  • Snyk3d

    Risk: LOW · No issues

  • Runlayer7mo

    36/36 files flagged

Provenance

Signed by skilld at 04110d9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 20 hours ago.

Activeupdated last week

Capability

metadata
{
  "author": "Microsoft",
  "version": "1.2.26"
}

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