Skill UI

This guide provides essential security and technical guidance for integrating Wispr Flow's voice-to-text API. It covers best practices for authentication (API keys, access tokens), utilizing streaming methods like WebSockets, handling common API errors, and optimizing context awareness for high-accuracy transcription in various applications.

This skill guides developers on building real-time, bidirectional, and multimodal streaming applications using the Gemini Live API. It covers low-latency voice, video, and text streaming over WebSockets, incorporating advanced features like Voice Activity Detection (VAD), function calling, and secure session management. Ideal for conversational AI, interactive video conferencing, and complex real-time user experiences.

Neon Functions provide long-running, stateful, serverless HTTP handlers deployed directly next to your Neon database branch. They are ideal for complex backend workloads that exceed traditional serverless limits, such as real-time WebSockets, Server-Sent Events (SSE) streaming, or sophisticated AI agents. Functions automatically inject the database connection URL and maintain state within the function scope, ensuring high performance and data proximity.

A comprehensive set of architectural patterns for building robust and maintainable HTTP servers using Kotlin Coroutines and the Ktor framework. It covers essential topics including REST routing DSL, plugin configuration (Authentication, CORS, StatusPages), Dependency Injection (Koin), serialization, WebSockets, and integration testing using testApplication.

This abstraction provides a centralized mechanism for handling every incoming WebSocket message. Instead of directly subscribing to the service, handlers register themselves and are responsible for filtering the event payload based on a specific 'action'. This ensures components react only to the events they are interested in, promoting efficient and decoupled application architecture.

This guide details how to implement real-time notifications from a backend API to the Admin UI using WebSockets. It covers emitting messages from server-side logic (e.g., background tasks) and receiving/handling them within the Admin's WebSocket handler, allowing for immediate UI feedback like toasts or cache updates.

Master building high-performance asynchronous APIs using FastAPI, SQLAlchemy 2.0, and Pydantic V2. Covers microservices, WebSockets, security, testing, and deployment strategies for production-ready Python backend systems. Includes async patterns, database optimization, and observability.

This skill provides comprehensive guidance for building scalable, maintainable, and production-ready backend applications using Node.js. It covers modern architectural patterns, best practices, and implementation details for REST APIs, GraphQL servers, microservices, authentication, real-time WebSockets, and complex database integrations (SQL/NoSQL).