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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-networkreferencescustom-template-adaptation.md

≈408 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Custom Template Adaptation

For the EXTEND path — when the user has existing Bicep or Terraform templates.

Instructions

  1. Read the user's existing template files. Understand the resource graph: what's defined, how resources reference each other, what naming conventions are used.

  2. Analyze the template against the user's requirements (from intake.md) and the Foundry private networking documentation validated in the intake step. Identify:

    • Resources already present and correctly configured
    • Resources present but misconfigured (wrong settings, missing properties)
    • Resources missing entirely
    • Dependency or wiring issues (e.g., PEs referencing wrong subnet, DNS zones not linked)

  3. Present findings to the user as a gap analysis table: resource, status (✅ present / ⚠️ misconfigured / ❌ missing), and what needs to change. Include any issues found.

  4. Propose an end-to-end plan to address all gaps — ordered by dependency. Explain what will be added, what will be modified, and why. Never overwrite existing modules — add alongside and reference existing resources.

  5. Wait for user approval before making any changes.

  6. Implement the approved changes. After implementation, the flow continues to Step 4 (Pre-Deployment Validation) in the main workflow.

Retry Safety

⚠️ If a deployment fails after the capability host step starts, Azure Container Apps leaves a legionservicelink service association on the agent subnet that cannot be removed. On retry, use a new subnet or new VNet — never reuse the same agent subnet.

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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