> azure-data-share
Expert knowledge for Azure Data Share development including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, managing invitations/RBAC, cross-region deployments, dataset mapping, or automation, and other Azure Data Share related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Import Export (use azure-import-export), Azure Open Datasets (use azure-open-datasets), Azure Data Explorer (use azure-data-explor
curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-data-share?format=md"Azure Data Share Skill
This skill provides expert guidance for Azure Data Share. Covers troubleshooting, decision making, security, configuration, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L33-L37 | Diagnosing and fixing Azure Data Share invitation issues, common error codes/messages, permission and configuration problems when sending or accepting shares |
| Decision Making | L38-L42 | Guidance on estimating Azure Data Share costs, understanding pricing factors (shares, snapshots, storage), and planning budgets for data sharing scenarios. |
| Security | L43-L49 | Managing access and security for Data Share: RBAC roles, permissions, invitations/recipients, and configuring security controls for shared datasets. |
| Configuration | L50-L62 | Configuring Azure Data Share: adding datasets, mapping received data, integrating with SQL/Synapse/Blob/Data Lake, setting up monitoring/metrics, and automating via PowerShell, ARM, and Bicep. |
| Deployment | L63-L67 | Guides for deploying Azure Data Share across regions, including disaster recovery setup, regional failover, and moving Data Share accounts between Azure regions. |
Troubleshooting
| Topic | URL |
|---|---|
| Troubleshoot invitations and errors in Azure Data Share | https://learn.microsoft.com/en-us/azure/data-share/data-share-troubleshoot |
Decision Making
| Topic | URL |
|---|---|
| Estimate and plan Azure Data Share pricing | https://learn.microsoft.com/en-us/azure/data-share/concepts-pricing |
Security
| Topic | URL |
|---|---|
| Assign roles and permissions for Azure Data Share | https://learn.microsoft.com/en-us/azure/data-share/concepts-roles-permissions |
| Configure recipients and invitations in Azure Data Share | https://learn.microsoft.com/en-us/azure/data-share/how-to-add-recipients |
| Apply security controls for Azure Data Share | https://learn.microsoft.com/en-us/azure/data-share/security |
Configuration
Deployment
| Topic | URL |
|---|---|
| Set up disaster recovery for Azure Data Share | https://learn.microsoft.com/en-us/azure/data-share/disaster-recovery |
| Move Azure Data Share accounts to another region | https://learn.microsoft.com/en-us/azure/data-share/move-to-new-region |
> related_skills --same-repo
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> microsoft-foundry-tools
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> microsoft-foundry-classic
Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with RAG, tools, evaluators, Azure OpenAI, VNet/Private Link, or CI/CD deployments, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry