Skill UI

This skill provides optimal best practices and patterns for building ViewModels, Wizards, and managing complex navigation flows in Avalonia applications. It leverages the power of ReactiveUI for functional state management and Zafiro for structured command handling, ensuring the creation of robust, maintainable, and scalable MVVM architectures.

This skill defines the mandatory conventions and architectural rules for developing maintainable, cross-platform applications using Avalonia UI and the Zafiro toolkit. It enforces a functional-reactive MVVM approach, prioritizing explicit error handling via Result types, and mandates leveraging Zafiro's existing abstractions to ensure code quality and predictability.

This skill provides comprehensive guidance for developing AWS infrastructure using the Cloud Development Kit (CDK). It supports TypeScript and Python, helping users create new stacks, refactor existing infrastructure, and implement Lambda functions. It includes best practices for resource naming, pre-deployment validation using cdk-nag, and integration with MCP servers for AWS knowledge access. Ideal for cloud architects and developers building scalable serverless applications.

Build and deploy serverless functions on AWS Lambda. Configure triggers like API Gateway, S3, and SQS. Manage IAM permissions and optimize performance for cold starts. Ideal for event-driven applications, scheduled tasks, and lightweight APIs. Includes deployment via CLI and SAM templates.

This skill enables building production-ready serverless applications on AWS. It covers core components like Lambda functions, API Gateway, and DynamoDB. It also includes event-driven patterns using SQS and SNS, deployment strategies with SAM or CDK, and optimization techniques for cold starts. Ideal for backend development and cloud-native architecture implementation.

This skill offers expert guidance for building serverless applications and event-driven architectures on AWS based on Well-Architected Framework principles. It covers Lambda functions, REST APIs, microservices, and asynchronous workflows. Key principles include designing for concurrency, stateless functions, and orchestration using Step Functions. Ideal for scalable, resilient cloud infrastructure design.

Low-level .NET SDK for creating and managing persistent AI agents with threads, messages, runs, and tools. Supports function calling, file search, vector stores, and streaming responses.

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 with Azure AI Voice Live SDK using bidirectional WebSocket communication, audio streaming, session configuration, event handling, and function calling.

Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models.

Build and deploy serverless applications using Azure Functions. Configure triggers, bindings, and deployment strategies for event-driven workloads. Includes Python and Node.js examples for HTTP, Blob, and Timer triggers. Suitable for APIs, webhooks, and microservices without managing servers.