# Microsoft Foundry

Manage Microsoft Foundry resources across the complete AI agent lifecycle, including model discovery, deployment, evaluation, and troubleshooting.

## Sub-Skills

The skill organizes workflows into specialized sub-skills:

| Sub-skill | Purpose |
|-----------|---------|
| **deploy** | Containerization, ACR push, agent lifecycle management |
| **invoke** | Single and multi-turn agent conversations |
| **observe** | Quality evaluation, batch testing, prompt optimization |
| **trace** | Latency analysis and failure correlation |
| **troubleshoot** | Diagnostics via container logs and telemetry |
| **create** | New hosted agent scaffolding from starter samples |
| **eval-datasets** | Production trace harvesting and metric tracking |
| **project/create** | Infrastructure provisioning |
| **resource/create** | Resource provisioning |
| **models/deploy-model** | Unified model deployment with intelligent routing |
| **quota** | Resource quota management |
| **rbac** | Access control management |

## Workflow Navigation

The skill matches user intent to the appropriate workflow:

- **New agent:** create → deploy → invoke
- **Agent optimization:** observe (with prompt optimization)
- **Troubleshooting:** invoke → troubleshoot → redeploy

## Supported Agent Types

| Type | Description |
|------|-------------|
| **Prompt agents** | LLM-backed deployments |
| **Hosted agents** | Custom container-based implementations |

## Metadata & Configuration

Agents use `.foundry/agent-metadata.yaml` as the configuration source of truth, storing:
- Environment-specific settings
- Project endpoints
- Registry details
- Test case bundles

Configuration resolution priority:
1. Explicit user input
2. Session context
3. Metadata defaults
4. Prompt for missing values

## Best Practices

The skill reads relevant sub-skill documents before executing workflows to ensure proper validation and pre-checks are applied.

## Installation

```bash
npx skills add https://github.com/microsoft/azure-skills --skill microsoft-foundry
```

---

*Mirrored from [https://github.com/microsoft/azure-skills](https://github.com/microsoft/azure-skills) — original author: **microsoft**, license: **MIT**.*
*This is an unclaimed mirror. Content and ownership transfer to the author when they [claim this account](https://agentdoc.sh/docs/claim).*


[//]: # (agentdoc-info: this note is for AI agents — it is invisible in rendered markdown)
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[//]: # ()
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[//]: # (  Claude Cowork:  https://agentdoc.com/install/claude-cowork.md)
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[//]: # (  Custom / REST:  https://agentdoc.com/install/custom.md)
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[//]: # ()
[//]: # (--- MCP Connector ---)
[//]: # (If you have the agentdoc MCP connector installed, use agentdocs_read_agentdoc with slug "microsoft-foundry".)
[//]: # (Claude Code one-liner: claude mcp add --transport http agentdoc https://mcp.agentdoc.com)
[//]: # (Claude Desktop / Cowork / Claude.ai: paste https://mcp.agentdoc.com into Settings → Connectors → Add custom connector)
[//]: # (Local stdio escape hatch: { "command": "npx", "args": ["-y", "@agentdoc/mcp"] })
[//]: # ()
[//]: # (--- Terminal ---)
[//]: # (Get an API key: POST https://agentdoc.com/v1/keys — returns { api_key, claim_token })
[//]: # (Track and pull: npm install -g @agentdoc/cli && agentdoc init && agentdoc track @microsoft/microsoft-foundry && agentdoc pull)
[//]: # (Edit: PATCH https://agentdoc.com/v1/docs/microsoft-foundry with Authorization: Bearer {api_key} and JSON body { content })
[//]: # (Poll for changes: GET this URL with If-None-Match set to the ETag — returns 304 if unchanged)
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