Skill UI

This comprehensive catalog provides essential abstractions for securing web APIs. It covers the entire lifecycle of authentication, including handling roles, users, and teams. Features include robust mechanisms for managing API keys (before/after events) and dedicated use cases for user and role creation/deletion, ensuring highly scalable and secure backend development.

This API provides core abstractions for managing system initialization and lifecycle events. It includes `InstallSystemUseCase` for running system-wide setup logic, and `SystemInstalledEventHandler` for implementing hooks that execute immediately after the system is successfully installed. It is essential for developing robust, modular, and reliable large-scale applications requiring structured bootstrapping.

This module provides core abstractions for handling long-running, asynchronous background tasks within an API context. It introduces `TaskDefinition` to define the complete lifecycle and hooks for a background task, and `TaskService` to programmatically trigger and manage these operations. It is essential for backend development requiring robust, non-instantaneous processing.

A comprehensive API catalog for managing the entire tenant lifecycle in multi-tenant applications. It provides structured abstractions, including Use Cases, Repositories, and various Event Handlers (before/after hooks), facilitating the creation of robust, scalable, and loosely coupled multi-tenant backend systems.

This module provides comprehensive API abstractions and use cases for managing multi-tenant systems. It covers the entire tenant lifecycle, including creation, installation, enabling, disabling, retrieval by ID, and model extension. Developers can use these structured patterns to ensure robust, scalable, and maintainable multi-tenancy implementation within their services.

This pattern provides a robust method for extending and customizing existing GraphQL APIs. Developers can implement `GraphQLSchemaFactory` to add custom root queries and mutations, injecting complex business logic and use cases directly into the API layer. It fully supports per-resolver dependency injection (DI), ensuring that every resolver has access to critical request-scoped context, such as identity and tenancy, making it ideal for building modular, enterprise-grade backend services.

A comprehensive guide for developers on deploying, developing locally, and managing environments for Webiny serverless platform on AWS. Learn how to use `yarn webiny deploy` for multi-environment releases (dev, staging, prod), and how to leverage `yarn webiny watch` for local API (Lambda stubs) and Admin (React HMR) development, ensuring full-stack debugging capabilities.

This guide details how to build and integrate custom, editable components for a Website Builder platform using the webiny-website-builder-nextjs SDK. Developers can learn to register components, define configurable inputs (text, image, colors, etc.), handle complex data types (like lexical objects), implement advanced theming, and build Server Components to fetch live CMS data. Ideal for creating a seamless, professional user experience within a web editor environment.

This component is an essential extension for KubeSphere Observability Platform, designed for comprehensive collection, processing, and storage of Kubernetes and KubeSphere audit events. It supports various sinks, including OpenSearch and Doris, and provides an API for querying historical audit data, ensuring robust auditing capabilities for platform operations.

This guide provides comprehensive troubleshooting and error handling documentation for integrating the Wispr Flow voice-to-text API. It covers common issues across WebSocket streaming, REST API calls, and general dictation workflows. Users will learn how to address errors like 'Unauthorized' keys, network disconnections, and poor accuracy by utilizing best practices for context setting and API reconnection strategies.

This workflow provides comprehensive guidance for integrating the Wispr Flow voice-to-text API. It supports both low-latency WebSocket streaming and simpler REST API calls. It is essential for developers building sophisticated, voice-powered applications, including real-time dictation, transcribing content, and integrating voice inputs into core development tools.

This core workflow provides comprehensive guidance for integrating the Wispr Flow voice-to-text API. It supports both low-latency WebSocket streaming and standard REST API calls. Use this when building voice-powered applications, real-time dictation tools, or systems that require high accuracy in transcribing complex content like code, CLI commands, and technical jargon.