Skill UI

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.

This pattern provides a comprehensive guide to implementing domain event handlers (before/after hooks) within the Webiny framework. It emphasizes the 'thin orchestrator' principle, requiring handlers to delegate all business logic to reusable service abstractions or UseCases for maximum reusability. Furthermore, it details the process of defining, publishing, and reacting to custom domain events, ensuring a clean, decoupled architecture.

This module provides a comprehensive set of infrastructure abstractions and lifecycle hooks for web applications. Developers can utilize these hooks to inject custom logic at critical stages of the application development cycle, including before, during, or after build, deploy, and watch events. It also provides specialized services for managing environment variables, cloud resources (like Pulumi), and core application functionality, greatly enhancing CI/CD and DevOps capabilities.

WizTelemetry Events is a core extension component within the KubeSphere Observability Platform. It provides robust capabilities for collecting, processing, and storing Kubernetes events. Users can utilize this component to configure the entire event collection pipeline, integrate diverse storage sinks (such as OpenSearch and Doris), and query historical events via the dedicated event query API. It is essential for achieving deep system visibility, monitoring, and troubleshooting in complex microservice environments.

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.

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 guide provides comprehensive instructions for integrating the Wispr Flow API for advanced voice-to-text transcription. It details both WebSocket streaming (recommended for low latency) and REST API endpoints, covering authentication setup, API key configuration, and accessing short-lived client access tokens. Ideal for building real-time, voice-powered applications, such as code editors or dictation tools.

This guide provides detailed instructions for setting up a local development loop using the Wispr Flow voice-to-text API. It covers connecting via WebSocket (recommended for low latency) or REST API, handling authentication, and optimizing audio input. Ideal for building voice-powered applications, dictation tools, or integrating sophisticated voice command features into existing SaaS products.

This comprehensive guide provides developers with best practices and detailed instructions for integrating the Wispr Flow voice-to-text API. It covers critical topics such as managing rate limits, choosing between WebSocket streaming and REST endpoints, handling common error codes (e.g., 401 Unauthorized), and optimizing context awareness, particularly for programming code and developer jargon. Essential for building reliable, low-latency voice-powered applications.

A comprehensive guide for integrating the Wispr Flow voice-to-text API using webhooks. This skill covers best practices for real-time speech recognition, including low-latency WebSocket streaming and robust REST API calls. It is essential for developers building voice-powered applications, dictation tools, or any system requiring advanced audio processing and context-aware transcription.