Skill UI

Complex Skill CLI wraps multi-line metadata and coordinates lark-cli plus Node.js binaries to expose a predictable helper for complex automation or deployment tasks within CLI-driven workflows.

Transforms unstructured and messy bug reports—including pasted error logs, voice dictations, and screenshots—into clean, actionable, and highly structured GitHub Issues. It automatically populates key sections like reproduction steps, expected/actual behavior, impact severity, and environment details, ensuring developers receive comprehensive and ready-to-use information.

This skill provides a robust, schema-driven solution for managing and enforcing permissions in administrative user interfaces. It allows developers to define complex permission structures (the domain schema) and automatically generates associated UI forms, injectable permission checks, and component props. Use it to add granular permission controls to any admin section, supporting multi-entity, complex access scopes (e.g., full/own), and various operational actions.

This skill provides a robust, schema-based system for handling API authorization and access control. It enables developers to define detailed permission schemas (the domain layer) and create injectable, type-safe permissions abstractions (the feature layer). Use this system when implementing complex access control logic, checking granular read/write/delete permissions, or enforcing resource ownership scoping (`own` records) across API use cases.

This guide details the UseCase pattern, an architectural pattern used to encapsulate specific business operations within the Webiny framework. Learn how to define UseCases as injectable dependencies, manage input and output using the structured Result<T, E> type, and implement robust, domain-specific error handling. Mastering this pattern is crucial for building highly modular, testable, and maintainable backend APIs.

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 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 demonstrates how to integrate Wispr Flow for robust voice-to-text transcription. It covers two primary methods: asynchronous REST calls for transcribing audio files, and real-time WebSocket streaming for live microphone input. Wispr specializes in developer-context-aware dictation, making it ideal for building complex voice-powered applications, especially those involving code or technical jargon.

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.