From azure
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 azureThis skill uses the workspace's default tool permissions.
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.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Builds production-ready Apache Airflow DAGs with patterns for operators, sensors, testing, and deployment. For data pipelines, workflow orchestration, and batch jobs.
Share bugs, ideas, or general feedback.
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.
IMPORTANT for Agent: This file may be large. Use the Category Index below to locate relevant sections, then use
read_filewith 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. Usemcp_microsoftdocs:microsoft_docs_fetchto retrieve full articles.
WebFetch tool if the Microsoft Learn MCP server is not available.| 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. |
| 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 |
| 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 |
| Topic | URL |
|---|---|
| Map Content Understanding analyzers to model deployments | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/models-deployments |
| 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 |
| 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 |