From azure
Expert knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR, DICOM, MedTech, de-identification APIs, bulk data flows, or Synapse/ADF/Logic Apps integrations, and other Azure Health Data Services related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure Data Factory (use azure-data-factory), Azure Synapse Analytics (use azure-synapse-analytics), Azure Machine Learning (use azure-machine-learning).
npx claudepluginhub atc-net/atc-agentic-toolkit --plugin azureThis skill uses the workspace's default tool permissions.
This skill provides expert guidance for Azure Health Data Services. Covers troubleshooting, 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.
Enforces guardrails on AI agent FHIR data access via MCP tools: PHI redaction on reads, two-phase propose/commit writes with step-up auth, R6 permission evaluation, stats queries, and auditing.
Pre-configures ai-brain-starter substrate for HIPAA healthcare compliance: typed-memory categories for PHI/clinical data/BAA, retention policies, Epic/Cerner FHIR/Salesforce Health Cloud connectors, decision audits. For covered entities/health systems.
Guides on Azure Data Factory validation rules including activity nesting limitations, ForEach restrictions, pipeline validation, linked service authentication, resource limits, Set Variable rules, and Data Flow constraints.
Share bugs, ideas, or general feedback.
This skill provides expert guidance for Azure Health Data Services. Covers troubleshooting, 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 |
|---|---|---|
| Troubleshooting | L31-L41 | Diagnosing and fixing Azure Health Data Services issues: FHIR access tokens, events, $convert-data, identity providers, MedTech deployment/log errors, and known platform problems. |
| Best Practices | L43-L49 | Guidance on using customer-managed keys with FHIR/DICOM, optimizing FHIR performance, and safely running, monitoring, and managing FHIR reindex jobs. |
| Decision Making | L51-L55 | Guidance for planning and executing migrations from Azure API for FHIR to the FHIR service or broader Azure Health Data Services, including architecture, data, and compatibility considerations. |
| Architecture & Design Patterns | L57-L62 | Architectural patterns for FHIR, DICOM, and de-identification: disaster recovery setup, reliable anonymization services, DICOM + Data Lake integration, and digital pathology workflow design. |
| Limits & Quotas | L64-L68 | Autoscaling and performance tuning for Azure API for FHIR/FHIR service, plus supported languages and limits for the Azure Health de-identification service. |
| Security | L70-L107 | Configuring auth, RBAC, identity apps, tokens, encryption (CMK), network/Private Link, and compliance policies for securing FHIR, DICOM, and de-identification services in Azure Health Data Services. |
| Configuration | L109-L173 | Configuring FHIR, DICOM, and MedTech services: bulk ops, profiles/validation, CORS, logging/metrics, de-identification, events, security (Private Link), and standards (CARIN, Da Vinci). |
| Integrations & Coding Patterns | L175-L210 | Patterns and code samples for calling FHIR, DICOM, MedTech, and de-identification APIs, integrating with tools like Synapse, ADF, Logic Apps, AML, Power BI, and managing bulk data flows. |
| Deployment | L212-L227 | How to deploy and move FHIR, DICOM, MedTech, and de-identification services using portal, ARM, Bicep, CLI, PowerShell, and configure storage/backing resources |
| Topic | URL |
|---|---|
| Apply customer-managed key best practices to DICOM service | https://learn.microsoft.com/en-us/azure/healthcare-apis/dicom/customer-managed-keys |
| Best practices for CMK in FHIR service | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/customer-managed-keys |
| Apply performance best practices for FHIR service | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/fhir-best-practices |
| Run and manage FHIR reindex jobs safely | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/how-to-run-a-reindex |
| Topic | URL |
|---|---|
| Plan migration from Azure API for FHIR to FHIR service | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/migration-faq |
| Plan migration from Azure API for FHIR to Health Data Services | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/migration-strategies |
| Topic | URL |
|---|---|
| Configure disaster recovery for Azure API for FHIR | https://learn.microsoft.com/en-us/azure/healthcare-apis/azure-api-for-fhir/disaster-recovery |
| Architect DICOM service with Azure Data Lake Storage | https://learn.microsoft.com/en-us/azure/healthcare-apis/dicom/dicom-data-lake |
| Implement digital pathology workflows with DICOM service | https://learn.microsoft.com/en-us/azure/healthcare-apis/dicom/dicom-digital-pathology |
| Topic | URL |
|---|---|
| Use autoscale with Azure API for FHIR | https://learn.microsoft.com/en-us/azure/healthcare-apis/azure-api-for-fhir/autoscale-azure-api-fhir |
| Use autoscale for FHIR service performance and capacity | https://learn.microsoft.com/en-us/azure/healthcare-apis/fhir/autoscale |