Skill UI

This skill generates complete, production-grade client SDKs and API wrapper libraries for any REST API, regardless of the language (Python, TypeScript, etc.). It handles boilerplate code like authentication, retry logic (exponential backoff), data modeling, and structured resource management, saving significant development time. Use it whenever you need to consume a REST API via code.

The Application Insights JavaScript SDK is designed to instrument client-side web applications for Real User Monitoring (RUM). It automatically collects crucial telemetry, including page views, user clicks, AJAX dependencies, unhandled exceptions, and custom events. This SDK supports correlating browser-side activity with backend services and includes specialized support for GenAI agent traces following OpenTelemetry standards.

A comprehensive Rust client library for integrating with Azure Service Bus. It allows developers to send and receive messages reliably using both point-to-point queues (for competing consumers) and publish-subscribe topics. This skill is essential for building robust, event-driven, and highly available distributed applications in Rust that require durable message passing within the Azure cloud environment.

This official Rust client library provides comprehensive functionality for interacting with Azure Queue Storage. It allows developers to reliably send, receive, manage, and peek messages within an Azure cloud environment. Use it in Rust applications that require asynchronous message queuing, ensuring robust communication and data synchronization between services. Supports full lifecycle management including deletion and peeking.

This discipline establishes a portable, framework-agnostic layer for ensuring type safety at the network edge of any React or React Native application. It mandates a single, typed API client to wrap all network fetching, guaranteeing that raw wire JSON is immediately parsed into trusted, domain-specific types or standardized error objects before entering the application state. This pattern drastically reduces runtime errors and enhances code robustness.

This guide details best practices for implementing robust, type-safe GraphQL queries and mutations. It covers using separate .gql files, running code generation tools, and implementing mandatory error handling (onError) and loading states. Use this when building complex, reliable data fetching layers with Apollo Client.