Skill UI

A comprehensive set of abstractions, types, and components for building robust administrative backends and content management interfaces. This toolkit supports data modeling, content entry forms, GraphQL integration, and event handling, making it ideal for developing headless CMS solutions.

Provides a comprehensive set of abstractions and utilities for building sophisticated web editors. These functions allow developers to programmatically manipulate the editor state, such as creating, deleting, selecting, updating, and retrieving elements, making it ideal for complex CMS or page builder integrations.

A comprehensive collection of core abstractions, event handlers, and use cases for building applications with a Headless Content Management System (CMS). It provides types for content entries, models, and groups, along with specific integrations for advanced search features like OpenSearch.

This guide details how to implement custom Content Management System (CMS) field types within a framework. It covers extending the core DataFieldBuilder, composing complex validator interfaces, creating a dedicated FieldTypeFactory, and ensuring proper registration via Dependency Injection (DI) and module augmentation for full TypeScript autocomplete support. Essential for adding fields with specialized validation or storage formats.

The official SDK for interacting with the Webiny Headless CMS and File Manager from external applications (Next.js, Vue, Node.js). It provides a robust TypeScript interface for performing CRUD operations (list, get, create, update, publish), advanced filtering, sorting, and ensuring type safety across complex content models. Use this when building frontends or backends that need to consume Webiny content data.

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.

Provides comprehensive guidelines for integrating the Wispr Flow voice-to-text API into development environments. This skill covers both low-latency WebSocket streaming and simpler REST endpoint usage. It is essential for building voice-powered applications, including real-time dictation, command-line interactions, and context-aware code transcription across multiple platforms (Mac, Windows, iOS).

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.

This guide provides detailed instructions for optimizing cost and implementing voice-to-text API integrations using Wispr Flow. It covers best practices for WebSocket streaming, REST API usage, context awareness (like programming code), and robust error handling, helping developers build advanced voice-powered applications.

This debug bundle provides comprehensive guidance for integrating the Wispr Flow voice-to-text API. It covers best practices for various integration methods, such as low-latency WebSocket streaming and standard REST API calls. It is essential for developers building sophisticated voice-powered applications, dictation tools, or any system requiring robust speech recognition and error handling.

This technical guide provides comprehensive integration details for the Wispr Flow voice-to-text API. It equips developers with the knowledge to build sophisticated, voice-powered applications. Learn how to utilize WebSocket streaming for low latency or REST endpoints for simple transcription, ensuring accurate context awareness for code and development jargon across multiple platforms.

This pattern provides comprehensive guidance for integrating the Wispr Flow voice-to-text API. It covers best practices for both low-latency WebSocket streaming and simpler REST API usage. Key topics include authentication, recommended audio formats, robust error handling, and context awareness (e.g., understanding code or CLI commands), making it ideal for building advanced voice-powered applications.