Skill UI

Comprehensive guide for designing robust backend APIs within the Webiny framework. It details best practices for structuring features, distinguishing between Services (multi-method, singleton) and UseCases (single-method orchestrators, transient), managing dependencies via the DI container, and implementing advanced patterns like ServiceProviders for asynchronous bootstrapping. Essential for all backend API development.

This module provides core abstractions for implementing event-driven architecture within APIs. It includes `DomainEvent`, the fundamental base class for all domain events, and `EventPublisher`, which facilitates the structured publishing of these events to registered handlers. It is crucial for building highly decoupled, scalable, and maintainable backend services.

Provides a standardized and robust skeleton for developing full-stack extensions that integrate both a backend API service and a frontend Admin UI. This pattern enforces clear separation of concerns, utilizing shared domain layers for data consistency while ensuring that API and Admin code are correctly registered using specific entry points. Ideal for complex applications requiring unified management interfaces and robust backend logic.

This guide details the complete architecture and organizational principles of a Webiny project. It covers the core concepts of the flat folder structure, the role of the central `webiny.config.tsx` file, and how to register various types of extensions (API, Admin UI, Infrastructure, and CLI Commands) using declarative JSX components. Use this when developers need to understand where custom code belongs and how to integrate different functional components into the platform.

This guide provides the reference architecture and best practices for integrating Wispr Flow's voice-to-text API. It details how to utilize both WebSocket (for low-latency streaming) and REST APIs, covering essential concepts like audio format requirements, context awareness (especially for programming code), and comprehensive error handling strategies.

This guide provides the reference architecture for integrating Workhuman's Social Recognition and rewards APIs. It details key concepts like OAuth 2.0, peer-to-peer recognition, and configurable awards. Use this skill when building complex employee recognition workflows, syncing data bi-directionally with HRIS systems (e.g., Workday, SAP), or integrating with collaboration tools like Slack and Microsoft Teams.

This catalog provides 11 core abstractions for implementing robust mailing functionalities within the Webiny API architecture. It includes Use Cases, Repositories, and various Event Handlers (e.g., before/after send, save). Developers should use these structured patterns to ensure their mailer logic is modular, highly testable, and follows industry best practices.

This guide provides comprehensive, language-agnostic patterns for building robust error handling mechanisms in production applications. It covers best practices for using typed errors (TypeScript, Python), implementing error boundaries (React), managing external dependency failures (retries, circuit breakers), and structuring API error responses across different stack architectures.

A rigorous, Chief AI Officer-level interrogation tool designed to pressure-test any plan involving artificial intelligence. Before deployment, it forces comprehensive review across crucial dimensions: evaluation metrics, hallucination risk, EU AI Act compliance, model architecture selection (API vs. build), cost economics, and required organizational roles. Essential for maintaining AI product safety and compliance.