Skill UI

Build a comprehensive, real-time support chat system designed for modern applications. This solution provides a floating, user-facing chat widget for instant customer inquiries and a robust admin dashboard for support staff. It handles real-time messaging, chat history management, and notification systems via WebSockets, making it ideal for integrating live support channels into any platform.

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.

A comprehensive guide to using k6 for robust performance and load testing across APIs, WebSockets, and browser scenarios. Learn to write realistic load simulations (smoke, load, stress, soak), analyze performance metrics, set SLAs, and integrate testing into CI/CD pipelines to ensure system reliability before deployment.

This comprehensive guide outlines techniques for authorized penetration testing of real-time web applications using WebSocket connections. It covers discovering various WebSocket endpoints, testing for authentication bypass, identifying Cross-Site WebSocket Hijacking (CSWSH) vulnerabilities, and assessing message handling for injection flaws (SQLi, XSS). Essential for securing chat, trading, and live notification platforms.

A comprehensive guide and code suite for performing penetration testing on real-time WebSocket APIs (WS/WSS). This tool assesses vulnerabilities including Cross-Site WebSocket Hijacking (CSWSH), missing handshake authentication, message injection, input validation failures, and DoS risks. It guides users through analyzing the handshake process and testing authorization enforcement using Python and specialized tools.

Provides end-to-end guidance for fine-tuning and serving Physical Intelligence’s OpenPI pi0 family (pi0, pi0-fast, pi0.5) with both JAX and PyTorch backends, covering dataset prep, norm stats, checkpoint conversion, and low-latency WebSocket policy inference for ALOHA, DROID, and LIBERO tasks.

GoldRush API by Covalent lets agents query wallet balances, token prices, transaction history, DEX pairs, and live OHLCV across 100+ chains via REST, CLI, SDK, or WebSocket, avoiding chain-specific plumbing.

A type-safe, declarative implementation of ReactiveX in Go. This library enables robust handling of infinite, asynchronous event streams (like WebSockets or tickers) by providing composable operators, automatic backpressure management, and error propagation. It is designed to replace complex, error-prone manual channel and goroutine wiring, allowing developers to build predictable, real-time, event-driven pipelines.

This comprehensive guide details advanced strategies for optimizing performance when interacting with blockchain data using the Alchemy SDK. Techniques covered include implementing TTL-based caching for data freshness, achieving parallel multi-chain fetches, utilizing batch API calls (e.g., NFT metadata) to reduce Compute Unit (CU) costs, and adopting WebSockets for real-time event subscriptions. Essential for scaling robust, low-latency dApps.

Implement professional text-to-speech generation and advanced voice cloning using the ElevenLabs API. This comprehensive workflow supports standard text-to-speech conversion, advanced voice customization (stability, similarity boost), and instant voice cloning from audio samples. It also includes WebSocket streaming for real-time applications like chatbots or live narration, making it ideal for building sophisticated, high-quality audio features.

This guide provides comprehensive techniques for optimizing ElevenLabs Text-to-Speech (TTS) performance. Learn how to reduce latency and maximize throughput by strategically selecting models (e.g., Flash vs. v3), implementing streaming endpoints (HTTP or WebSocket), and choosing optimal audio formats. It is essential for real-time conversational AI, IVR systems, and high-volume content generation.

This guide provides advanced techniques to boost Framer API performance. It covers critical optimization areas including batch CMS syncing to prevent timeouts, memoizing expensive React components for better render performance, establishing persistent WebSocket connections, and optimizing image URLs before CMS synchronization. Use this when aiming to improve overall speed and stability of Framer-integrated applications.