Skill

azure-foundry-tools

Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Understanding analyzers, Content Moderator APIs, Foundry containers, VNet/Key Vault security, or Entra auth, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local).

npx claudepluginhub atc-net/atc-agentic-toolkit --plugin azure

Tool Access

This skill uses the workspace's default tool permissions.

Preview

This skill provides expert guidance for Azure Foundry Tools. Covers best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

SKILL.md

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Last CommitApr 3, 2026

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Azure Foundry Tools Skill

How to Use This Skill

IMPORTANT for Agent: This file may be large. Use the Category Index below to locate relevant sections, then use read_file with specific line ranges (e.g., L136-L144) to read the sections needed for the user's question This skill requires network access to fetch documentation content. Use mcp_microsoftdocs:microsoft_docs_fetch to retrieve full articles.

Fallback: Use the built-in WebFetch tool if the Microsoft Learn MCP server is not available.

Category Index

Category	Lines	Description
Best Practices	L30-L34	Improving Content Understanding accuracy, document extraction quality, and using confidence scores/grounding to make extractions more reliable and trustworthy
Decision Making	L36-L44	Guidance on choosing Foundry pricing tiers, selecting Azure AI/Content Understanding modes and tools, comparing Foundry vs Studio, migration steps, and estimating Content Understanding costs.
Architecture & Design Patterns	L46-L49	Designing and configuring how Content Understanding analyzers are mapped to specific model deployments, including routing strategies and deployment architecture patterns.
Limits & Quotas	L51-L58	Quotas, rate limits, and throughput for Foundry Tools and Content Moderator/Understanding APIs, including autoscale settings, image/list limits, and supported language constraints.
Security	L60-L72	Securing Foundry: auth methods, Entra-only access, keys/Key Vault, CMK encryption, DLP, VNet rules, API key rotation, Azure Policy and regulatory compliance configuration
Configuration	L74-L91	Configuring Foundry environments and resources: credentials, subdomains, ARM provisioning, logging, and detailed setup for Content Understanding analyzers, layouts, images, faces, and routing.
Integrations & Coding Patterns	L93-L107	Using Content Moderator and Content Understanding via REST/.NET: calling text/image/video APIs, managing term lists, and consuming/creating multimodal Markdown and custom analyzers.
Deployment	L109-L115	Deploying Foundry Tools as containers: setup on Azure AI and Azure Container Instances, offline/disconnected deployment, and multi-container orchestration with Docker Compose.

Best Practices

Topic	URL
Apply best practices for Content Understanding accuracy	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/best-practices
Improve document extraction with confidence and grounding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/analyzer-improvement

Decision Making

Topic	URL
Choose and use Foundry commitment tier pricing	https://learn.microsoft.com/en-us/azure/ai-services/commitment-tier
Choose Azure AI tools for document processing	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/choosing-right-ai-tool
Choose between Content Understanding standard and pro modes	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/standard-pro-modes
Compare Foundry vs Content Understanding Studio features	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/foundry-vs-content-understanding-studio
Migrate Content Understanding from preview to GA APIs	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/migration-preview-to-ga
Estimate and plan Content Understanding pricing	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/pricing-explainer

Architecture & Design Patterns

Topic	URL
Map Content Understanding analyzers to model deployments	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/models-deployments

Limits & Quotas

Topic	URL
Configure autoscale rate limits for Foundry Tools	https://learn.microsoft.com/en-us/azure/ai-services/autoscale
Use Content Moderator image lists within quota limits	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-lists-quickstart-dotnet
Use supported languages in Content Moderator API	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/language-support
Apply Content Moderator .NET samples with list limits	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-dotnet
Content Understanding quotas, limits, and throughput	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits

Security

Topic	URL
Configure authentication for Foundry Tools requests	https://learn.microsoft.com/en-us/azure/ai-services/authentication
Configure data loss prevention for Foundry Tools	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-data-loss-prevention
Secure Foundry resources with virtual network rules	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-virtual-networks
Secure Content Understanding with keys and identities	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/secure-communications
Enforce Entra-only auth by disabling Foundry local keys	https://learn.microsoft.com/en-us/azure/ai-services/disable-local-auth
Configure customer-managed encryption keys for Foundry	https://learn.microsoft.com/en-us/azure/ai-services/encryption/cognitive-services-encryption-keys-portal
Use built-in Azure Policies for Foundry governance	https://learn.microsoft.com/en-us/azure/ai-services/policy-reference
Rotate Foundry API keys without downtime	https://learn.microsoft.com/en-us/azure/ai-services/rotate-keys
Apply regulatory compliance policies to Foundry	https://learn.microsoft.com/en-us/azure/ai-services/security-controls-policy
Secure Foundry applications using Azure Key Vault	https://learn.microsoft.com/en-us/azure/ai-services/use-key-vault

Configuration

Topic	URL
Configure custom subdomains for Foundry resources	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-custom-subdomains
Use environment variables for Foundry credentials	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-environment-variables
Create reusable Azure AI container images with presets	https://learn.microsoft.com/en-us/azure/ai-services/containers/container-reuse-recipe
Configure Content Understanding analyzers and parameters	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/analyzer-reference
Configure Content Understanding classifier and splitting	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/classifier
Use and customize Content Understanding prebuilt analyzers	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/prebuilt-analyzers
Configure document layout analysis with Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/elements
Configure face detection and recognition in Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/face/overview
Configure classification and routing in Content Understanding Studio	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/classification-content-understanding-studio
Configure Standard and Pro tasks in Foundry classic	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/content-understanding-foundry-classic
Copy Content Understanding custom analyzers across resources	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/copy-analyzers
Build and refine custom analyzers in Content Understanding Studio	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/customize-analyzer-content-understanding-studio
Configure image analyzers and schemas in Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/image/overview
Provision Foundry resources using ARM templates	https://learn.microsoft.com/en-us/azure/ai-services/create-account-resource-manager-template
Enable and configure Foundry diagnostic logging	https://learn.microsoft.com/en-us/azure/ai-services/diagnostic-logging

Integrations & Coding Patterns

Topic	URL
Content Moderator REST API operations reference	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/api-reference
Integrate Content Moderator via .NET client library	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/client-libraries
Call Content Moderator image moderation APIs	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-moderation-api
Call Content Moderator REST APIs from C# samples	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-rest
Use .NET SDK term lists with Content Moderator	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/term-lists-quickstart-dotnet
Use Content Moderator text moderation APIs	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/text-moderation-api
Moderate video content using Content Moderator .NET SDK	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/video-moderation-api
Consume Content Understanding document Markdown output	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/markdown
Call Content Understanding REST API for multimodal data	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-rest-api
Create custom Content Understanding analyzers via REST	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/create-custom-analyzer
Extract structured audiovisual content with Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/elements
Use audiovisual Markdown output from Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/markdown

Deployment

Topic	URL
Deploy Foundry Tools using Azure AI containers	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-container-support
Deploy Foundry containers to Azure Container Instances	https://learn.microsoft.com/en-us/azure/ai-services/containers/azure-container-instance-recipe
Run Foundry containers in disconnected environments	https://learn.microsoft.com/en-us/azure/ai-services/containers/disconnected-containers
Orchestrate multiple Foundry containers with Docker Compose	https://learn.microsoft.com/en-us/azure/ai-services/containers/docker-compose-recipe