Skill UI

A comprehensive Azure Resource Manager SDK for managing the lifecycle of Azure Bot Services in .NET. This library allows developers to programmatically provision, configure, and manage core bot resources, various communication channels (such as Teams, DirectLine, and Slack), and connection settings directly through the management plane.

This comprehensive guide demonstrates how to use the Azure Management SDK for Python to programmatically manage Azure Bot Service resources. It covers the full lifecycle, including creating, listing, updating, and deleting bots, configuring various communication channels (Teams, Direct Line, Web Chat), and setting up OAuth connections. Ideal for developers building sophisticated conversational AI solutions.

This comprehensive guide demonstrates how to use the Azure Management SDK for Python to programmatically manage Azure Bot Service resources. It covers the full lifecycle, including creating, listing, updating, and deleting bots, configuring various communication channels (Teams, Direct Line, Web Chat), and setting up OAuth connections. Ideal for developers building sophisticated conversational AI solutions.

The comprehensive official SDK for implementing enterprise-grade messaging patterns in .NET applications. It provides reliable connectivity to Azure Service Bus, supporting queues, topics, subscriptions, and ordered sessions. Ideal for building microservices, asynchronous communication, and durable event-driven architectures.

This comprehensive SDK provides a robust Python interface to interact with Azure Service Bus. It enables developers to implement reliable, scalable enterprise messaging patterns, including point-to-point queues, publish/subscribe topics, and session-based communication. Use it for building resilient, decoupled microservices and distributed cloud architectures.

This expert skill specializes in generating comprehensive, structured documentation for microservices and containerized architectures using the C4 Model. It covers system boundaries, container definitions, technology stacks, inter-container communication protocols, API specifications (OpenAPI/Swagger), and deployment infrastructure (e.g., Docker, Kubernetes). Ideal for documenting complex system deployments and mapping architectural relationships.

A comprehensive Python SDK for interacting with Azure Queue Storage. This tool enables reliable, asynchronous communication patterns by managing message queuing, task distribution, and data processing workflows. It supports core operations including sending, receiving, peeking, updating, and deleting messages, making it ideal for building resilient, decoupled backend systems on Azure.

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.

This comprehensive skill guide details the implementation of robust and secure API authentication systems. It covers industry standards like JWT, OAuth 2.0 (including various flows), and API key management. Key features include role-based access control (RBAC), refresh token rotation, session management, and brute-force protection, ensuring secure communication for diverse service architectures.

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 detailing best practices for building reliable, fault-tolerant Python applications utilizing DBOS durable workflows. This resource is essential when integrating DBOS into existing Python codebases, defining complex workflows and steps, managing concurrency via queues, or implementing robust workflow communication patterns.

A comprehensive guide for building robust, event-driven APIs using Webhooks, Server-Sent Events (SSE), and message brokers (e.g., Kafka, RabbitMQ). This skill covers advanced patterns like the transactional outbox pattern, implementing event schemas, managing webhooks with retry logic, and establishing real-time streaming endpoints for asynchronous microservices communication. Ideal for architecting complex, scalable, and resilient systems.