Skill UI

Send custom logs to an Azure Monitor Log Analytics workspace with the Python Logs Ingestion API. Covers authentication, Data Collection Rules, batching, async clients, and error handling.

Python low-level exporter for sending OpenTelemetry traces, metrics, and logs to Azure Application Insights. Supports custom pipelines, sampling, Azure AD auth, and offline storage.

One-line setup of Azure Monitor Application Insights for Python apps using OpenTelemetry auto-instrumentation. Covers Flask, Django, FastAPI, custom traces, metrics, logs, sampling, and AAD auth.

Query Azure Monitor logs and metrics from Python using LogsQueryClient and MetricsQueryClient with authentication, batching, async, and pandas support.

Comprehensive skill for using Azure AI Search SDK for Python, covering vector search, hybrid search, semantic ranking, indexing, and skillsets. Ideal for implementing AI-powered search solutions with full-text and vector capabilities.

Python SDK for Azure Service Bus messaging. Supports queues, topics, subscriptions, sessions, scheduled messages, and enterprise messaging patterns with async and sync clients.

A Python-based REST API skill for Azure Speech to Text, enabling simple speech recognition of short audio files (up to 60 seconds) without using the Speech SDK. It covers setup, authentication, request formats, and chunked transfer for efficient transcription.

This Python SDK enables interaction with Azure Blob Storage for unstructured data. It supports uploading, downloading, listing, and managing blobs and containers. Includes authentication, SAS tokens, async operations, and performance tuning for efficient cloud storage workflows.

Python SDK guide for Azure Data Lake Storage Gen2, covering authentication, file system and directory operations, file upload/download, listing paths, ACL management, and async clients for big data analytics workloads.

Use the Azure Storage File Share SDK for Python to manage cloud SMB file shares, directories, and files. Covers authentication, upload/download, ranges, snapshots, and async clients.

Use the Azure Queue Storage SDK for Python to build reliable message queuing: authenticate with Azure Identity, create queues, send, receive, peek, update and delete messages, handle visibility timeouts, and run async clients for high-throughput workloads.

This skill provides comprehensive guidance on using LibreOffice Base for full-cycle database management. Users can create ODB databases, define schemas, manage tables, and establish relationships. It supports connecting to various external databases (MySQL, PostgreSQL, etc.), performing complex data operations, and automating professional reports and forms using SQL and Python scripting (UNO). Ideal for building data-driven applications.