azure-cloud-shell
This Claude Code skill delivers expert guidance for Azure Cloud Shell development, covering troubleshooting common errors and connectivity issues, understanding session duration and resource limits, and implementing secure storage configurations. Use it when debugging Cloud Shell storage failures, diagnosing session timeout problems, checking quota constraints, or securing multi-user access patterns in private VNet deployments.
git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills /tmp/azure-cloud-shell && cp -r /tmp/azure-cloud-shell/skills/azure-cloud-shell ~/.claude/skills/azure-cloud-shellSKILL.md
# Azure Cloud Shell Skill This skill provides expert guidance for Azure Cloud Shell. Covers troubleshooting, limits & quotas, and security. 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`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file > **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md) This skill requires **network access** to fetch documentation content: - **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown. - **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown. ## Category Index | Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L31-L36 | Diagnosing and fixing common Cloud Shell errors, storage and connectivity issues, plus deployment and network problems when running Cloud Shell in private VNets. | | Limits & Quotas | L37-L41 | Details on Cloud Shell session duration, resource and concurrency limits, required storage accounts, quotas, and how these constraints affect shell usage and persistence | | Security | L42-L46 | Securing Cloud Shell storage accounts, including multi-user access patterns, network isolation, and configuring private endpoints for locked-down access. | ### Troubleshooting | Topic | URL | |-------|-----| | Troubleshoot common Azure Cloud Shell issues and FAQs | https://learn.microsoft.com/en-us/azure/cloud-shell/faq-troubleshooting | | Troubleshoot Cloud Shell deployments in private VNets | https://learn.microsoft.com/en-us/azure/cloud-shell/vnet/troubleshooting | ### Limits & Quotas | Topic | URL | |-------|-----| | Azure Cloud Shell session and storage limits | https://learn.microsoft.com/en-us/azure/cloud-shell/overview | ### Security | Topic | URL | |-------|-----| | Configure Cloud Shell storage for multiple users securely | https://learn.microsoft.com/en-us/azure/cloud-shell/security/how-to-support-multiple-users | | Secure Cloud Shell storage with private endpoints | https://learn.microsoft.com/en-us/azure/cloud-shell/vnet/how-to-use-private-endpoint-storage |
Expert knowledge for Azure Active Directory B2C development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building B2C user flows/custom policies, configuring IdPs/MFA, securing APIs, automating CI/CD, or monitoring with Sentinel, and other Azure Active Directory B2C related development tasks. Not for Azure Role-based access control (use azure-rbac), Azure Information Protection (use azure-information-protection), Azure Security (use azure-security), Azure Sentinel (use azure-sentinel).
Expert knowledge for Azure Advisor development including best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when creating Advisor alerts, workbooks, Resource Graph queries, migration risk views, or sovereign-cloud setups, and other Azure Advisor related development tasks. Not for Azure Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Security (use azure-security).
Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).
Expert knowledge for Azure Kubernetes Service Edge Essentials development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing AKS Edge/Arc clusters, Arc onboarding, SDN/AKS on Windows Server, IoT/AI workloads, or TPM/camera/OPC UA integration, and other Azure Kubernetes Service Edge Essentials related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure IoT Edge (use azure-iot-edge), Azure Stack Edge (use azure-stack-edge), Azure Container Apps (use azure-container-apps).
Expert knowledge for Azure Analysis Services development including troubleshooting. Use when configuring server firewalls, VNets, gateways, client connection strings, or reviewing connection logs, and other Azure Analysis Services related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, limits & quotas, configuration, and deployment. Use when tuning Docker-based Anomaly Detector, ACI or IoT Edge deployments, univariate/multivariate APIs, or service limits, and other Azure AI Anomaly Detector related development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).
Expert knowledge for Azure Api Center development including best practices, security, configuration, integrations & coding patterns, and deployment. Use when automating API linting/registration, syncing with API gateways, customizing the portal, or managing API inventory, and other Azure Api Center related development tasks. Not for Azure API Management (use azure-api-management), Azure App Service (use azure-app-service), Azure Functions (use azure-functions).
Expert knowledge for Azure API Management development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when integrating APIM with Event Hubs/Service Bus/LLMs, configuring policies, securing with Entra ID/OAuth2, or deploying self-hosted gateways, and other Azure API Management related development tasks. Not for Azure Application Gateway (use azure-application-gateway), Azure Front Door (use azure-front-door), Azure Web Application Firewall (use azure-web-application-firewall), Azure Service Bus (use azure-service-bus).