Skill UI

A comprehensive workflow designed for creating, maintaining, and deploying high-quality API documentation. This process guides users through several phases, including API discovery, generating OpenAPI specifications (Swagger), writing detailed developer guides, adding functional code examples, setting up interactive testing interfaces, and structuring the final documentation site.

A comprehensive workflow designed for creating, maintaining, and deploying high-quality API documentation. This process guides users through several phases, including API discovery, generating OpenAPI specifications (Swagger), writing detailed developer guides, adding functional code examples, setting up interactive testing interfaces, and structuring the final documentation site.

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

This skill provides optimal best practices and patterns for building ViewModels, Wizards, and managing complex navigation flows in Avalonia applications. It leverages the power of ReactiveUI for functional state management and Zafiro for structured command handling, ensuring the creation of robust, maintainable, and scalable MVVM architectures.

This skill defines the mandatory conventions and architectural rules for developing maintainable, cross-platform applications using Avalonia UI and the Zafiro toolkit. It enforces a functional-reactive MVVM approach, prioritizing explicit error handling via Result types, and mandates leveraging Zafiro's existing abstractions to ensure code quality and predictability.

This is the official Azure App Configuration SDK for Java. It provides comprehensive client functionality to manage application settings, feature flags, and secrets in a centralized location. Developers can use it to ensure robust, dynamic, and environment-specific configuration management in their Java applications, simplifying deployment and maintenance processes.

⚠️ This SDK is deprecated and used for maintaining legacy code only. It provides functionality for Azure Communication Services calling servers in Java. For all new development, developers must migrate to the updated 'Call Automation' SDK (`azure-communication-callautomation`). This guide details the necessary class and usage changes for a smooth transition.

⚠️ This SDK is deprecated and used for maintaining legacy code only. It provides functionality for Azure Communication Services calling servers in Java. For all new development, developers must migrate to the updated 'Call Automation' SDK (`azure-communication-callautomation`). This guide details the necessary class and usage changes for a smooth transition.

This guide provides comprehensive examples for developing real-time chat applications using the Azure Communication Services Chat SDK in Java. It covers essential features including creating chat threads, sending diverse message types (text, HTML), listing message history, managing participants, and handling advanced functionalities like read receipts, message updates, and participant management. Ideal for building robust, enterprise-grade messaging systems.

This guide provides comprehensive examples for developing real-time chat applications using the Azure Communication Services Chat SDK in Java. It covers essential features including creating chat threads, sending diverse message types (text, HTML), listing message history, managing participants, and handling advanced functionalities like read receipts, message updates, and participant management. Ideal for building robust, enterprise-grade messaging systems.

A comprehensive client library for interacting with Azure Event Hubs in Rust. It facilitates robust data streaming ingestion by providing functionality for both producers (sending event batches) and consumers (receiving and processing events from partitions). Designed for building high-throughput, real-time, event-driven data pipelines and architectures.