Skill UI

A comprehensive guide detailing the aesthetic and technical implementation of AI-native user interfaces for web and mobile applications. It emphasizes conversational flow, adaptive layouts, and generative state visual cues, providing CSS, SwiftUI, and Flutter code examples.

This skill provides expert patterns for implementing Algolia search, including indexing strategies, React InstantSearch integration, and relevance tuning. It covers search API usage, typeahead functionality, autocomplete, and faceted search implementation. Use this for adding robust search functionality to web applications and optimizing search results.

This skill facilitates the end-to-end deployment of web applications and websites, supporting full-stack architectures including backend APIs, databases, and file storage. It is used when the user wishes to publish a project to a public, live URL, managing the entire deployment lifecycle from template selection to status checking and updates.

Instrument browser and web apps with the Application Insights JavaScript SDK for TypeScript. Collect page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and GenAI agent traces for real user monitoring.

This skill provides comprehensive guidance on implementing high-performance, non-blocking applications in Python. It utilizes asyncio, async/await, and advanced concurrency patterns to handle I/O-bound workloads efficiently. Ideal for building async web APIs, real-time systems, and concurrent data processing.

A comprehensive guide for implementing 'Aurora UI' aesthetics across multiple platforms including Web, SwiftUI, and Flutter. Learn how to create ethereal, atmospheric backgrounds using blurred color orbs, glassmorphism overlays, and fluid motion, ideal for luxury, futuristic, or high-end applications.

AWT provides AI coding tools with visual perception and interaction capabilities for web applications. It executes declarative YAML test scenarios using Playwright, featuring visual matching via OpenCV and OCR without relying on stable DOM selectors. Supports platform auto-detection for frameworks like React and Vue, includes structured failure diagnosis, and maintains a learning database for failure patterns. Ideal for end-to-end testing workflows requiring visual assertions and AI-assisted debugging.

This .NET SDK enables developers to build real-time voice AI applications using Azure AI Voice Live. It supports bidirectional WebSocket communication, function calling, and multiple voice models like GPT-4o. Ideal for creating voice assistants with natural conversation flows and audio processing capabilities.

This Java SDK enables real-time bidirectional voice conversations with AI assistants using WebSocket technology. It supports authentication via API Key or DefaultAzureCredential, configuration for audio input/output (24kHz PCM), voice selection (OpenAI/Azure), and event handling for session management and function calling. Ideal for building voice-enabled applications.

Build real-time voice AI applications on Azure with bidirectional WebSocket streaming. Covers authentication, session configuration, base64 PCM16 audio streaming, event handling, voice activity detection, and function calling.

This SDK enables developers to build real-time voice AI applications using JavaScript and TypeScript. It supports bidirectional WebSocket communication for seamless audio and text streaming between users and Azure AI assistants. Ideal for creating voice assistants, customer service bots, and interactive voice experiences in Node.js and browser environments.

Build server-side call automation workflows using Azure Communication Services Java SDK. Supports IVR systems, call routing, recording, and AI-powered speech interactions. Manage inbound/outbound calls, play audio, recognize DTMF/speech, and handle webhook events for custom telephony applications.