Skill UI

A comprehensive guide and implementation guide for using the Azure Event Hubs SDK in TypeScript. It demonstrates best practices for high-throughput event streaming, including batch event sending, targeted partitioning, and robust event consumption. Covers advanced features like checkpointing, starting from specific positions, and handling event properties, making it ideal for building scalable, real-time data ingestion pipelines.

The comprehensive Azure Maps SDK for .NET, providing robust location-based services. Key functionalities include geocoding (address search), routing (directions and matrices), map tile rendering, IP geolocation, and real-time weather data. Essential for .NET developers building location-aware and map-integrated applications.

This SDK enables Java developers to build real-time, scalable web applications using Azure Web PubSub. It leverages WebSocket-based messaging to implement critical features such as live chat applications, instant server-to-client push notifications, and real-time data synchronization. Key functionalities include targeted message delivery (to all, groups, or specific users), connection management, and secure client access token generation.

This comprehensive SDK provides a Python interface for Azure Web PubSub Service, enabling real-time, scalable messaging via WebSocket connections. It allows developers to implement robust Publish/Subscribe (Pub/Sub) patterns, supporting message broadcasting to all clients, targeted messages to specific users, and advanced group management. Ideal for building high-concurrency, real-time communication features.

A comprehensive SDK suite for implementing real-time messaging and pub/sub patterns using Azure Web PubSub with TypeScript. It utilizes WebSocket connections to facilitate robust communication, supporting features like group broadcasts, direct user messaging, and custom event handling. Ideal for building chat applications, live dashboards, and notification systems requiring high real-time performance.

A comprehensive guide to building robust, production-ready GraphQL APIs. This skill covers schema design (SDL/code-first), implementing efficient resolvers with DataLoader for batching, handling real-time subscriptions via WebSockets, and integrating field-level authorization and complexity limiting. Supports major runtimes like Node.js and Python.

Provides a comprehensive guide and implementation pattern for building scalable WebSocket servers. This skill covers real-time, bidirectional communication, handling connection lifecycle, implementing room/channel subscriptions, and ensuring horizontal scalability using Redis pub/sub. It is ideal for developing high-throughput, low-latency applications like chat platforms, live dashboards, and collaborative editing tools.

A comprehensive guide and implementation framework for managing real-time data flow using Clay's event-driven architecture. This skill covers both inbound webhooks (POSTing data into Clay tables) and outbound HTTP API callbacks (receiving enriched data from Clay). It provides production-ready TypeScript code for setup, signature verification, and idempotent processing, enabling robust, event-driven integrations.

Guidelines for building Convex backends with TypeScript, detailing syntax, validators, schema design, queries, mutations, actions, scheduling, and file storage so you can implement Convex database operations, real-time updates, and cron jobs consistently.

The official SDK for building applications that programmatically interact with GitHub Copilot. It provides comprehensive features including session management, custom tool definition (function calling), real-time streaming, and lifecycle hooks. Supports multiple languages, including Node.js, Python, Go, and .NET, making AI integration seamless across your tech stack.

This guide provides expert patterns for building robust, observable infrastructure for database migrations. It covers real-time monitoring using Change Data Capture (CDC), metrics collection (Prometheus/Grafana), and anomaly detection. Use this skill when setting up CDC pipelines (e.g., Debezium with Kafka) or implementing comprehensive observability for database schema changes and data synchronization processes.

Provides reference architectures for building high-scale, reliable transcription systems using Deepgram. It covers four main patterns: synchronous REST for short files, async queues (BullMQ) for batch processing, WebSocket for real-time streaming, and a hybrid router for mixed workloads. Use this when designing production-grade audio processing pipelines.