Skill UI

This SDK provides comprehensive support for automatically instrumenting Node.js applications to collect observability data. It integrates distributed tracing, metrics, and logs using the OpenTelemetry standard, allowing seamless data export and monitoring within Azure Monitor. It supports various resource types and connection methods.

This SDK provides a comprehensive Java client for interacting with Azure Monitor. It allows developers to execute powerful Kusto Query Language (KQL) queries against Log Analytics workspaces to retrieve detailed operational logs, and to query time-series metrics from various Azure resources. It supports both synchronous and asynchronous operations, making it ideal for building monitoring, auditing, and analytics features in Java applications.

A comprehensive Python SDK for interacting with Azure Monitor services. It enables developers to execute complex Kusto Query Language (KQL) queries against Log Analytics workspaces and retrieve various resource metrics (CPU usage, network traffic, etc.). Ideal for building robust monitoring dashboards, automated alerting systems, and custom data analysis pipelines in cloud environments.

The comprehensive official SDK for implementing enterprise-grade messaging patterns in .NET applications. It provides reliable connectivity to Azure Service Bus, supporting queues, topics, subscriptions, and ordered sessions. Ideal for building microservices, asynchronous communication, and durable event-driven architectures.

This comprehensive SDK provides a robust Python interface to interact with Azure Service Bus. It enables developers to implement reliable, scalable enterprise messaging patterns, including point-to-point queues, publish/subscribe topics, and session-based communication. Use it for building resilient, decoupled microservices and distributed cloud architectures.

A comprehensive guide on using the Azure Service Bus SDK in TypeScript for enterprise messaging. It demonstrates core asynchronous patterns, including sending/receiving messages from queues, publishing to topics with subscriptions, managing message sessions, and handling advanced features like dead-lettering and scheduled messages. Essential for building robust, scalable, event-driven microservices.

This SDK provides comprehensive Python support for Azure Data Lake Storage Gen2. It enables developers to interact with hierarchical file systems, performing essential big data operations such as creating, listing, uploading, downloading, and managing metadata for files and directories. Ideal for building data analytics pipelines and cloud-based data processing workflows.

Python CLI trio for multi-touch attribution, funnel conversion diagnostics, and ROI/ROAS/CPA benchmarking to optimize marketing campaigns without external dependencies.

Manages CAPA investigations in medical device QMS, covering root cause analysis, corrective action planning, effectiveness verification, and CAPA metrics tracking.

Changelog Creator automatically surfaces best practices for DevOps basics by guiding requests that mention changelog creator, recommending version-control tips, container checks, and CI/CD fundamentals while also validating outputs and generating ready-to-use code/configurations.

Automatically activates when chart type recommender needs arise, guiding data analysts through SQL, visualization, statistics, and BI patterns to deliver production-ready recommendations.

This comprehensive framework allows users to validate and test both crypto and traditional trading strategies against extensive historical market data. It calculates essential performance metrics (Sharpe Ratio, Sortino Ratio, Max Drawdown), simulates trade execution, generates equity curves, and includes advanced parameter grid search optimization tools for robust strategy validation.