Skills

Enables AI agents to interact with Azure Storage Queues, providing methods to create, send, receive, and manage message queues programmatically using Python.

Enables AI agents to generate TypeScript code for interacting with Azure Event Hubs, providing context-aware SDK integration and event streaming implementation patterns.

Simplifies Azure Event Grid event publishing and handling in .NET applications with robust, scalable event-driven architectures.

Manages Azure AI observability evaluation tasks and configurations using .NET SDK interactions for Arize AI platform monitoring and assessment.

Simplifies event-driven architectures by providing Java utilities for publishing, consuming, and managing Azure Event Grid events with robust error handling.

Simplifies querying Azure Monitor logs and metrics using Java, enabling efficient data retrieval and analysis for cloud monitoring and observability.

Simplifies sending, receiving, and managing messages with Azure Service Bus using .NET, enabling reliable distributed messaging and event-driven architectures.

Exports Java application telemetry to Azure Monitor using OpenTelemetry, enabling comprehensive performance monitoring and distributed tracing.

Simplifies sending custom telemetry and logs to Azure Monitor using Java, enabling efficient application performance and diagnostic data ingestion.

Manages TypeScript interactions with Azure Blob Storage, providing methods to upload, download, list, and manipulate blob files and containers.

Enables querying and retrieving relevant information from Azure AI Search using Python, facilitating intelligent document and data retrieval.

Manages Azure Container Registry operations like pushing, pulling, and tagging Docker images with Python SDK interactions and authentication.