Skill UI

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.

Provides expert AWS architecture, security, and implementation guidance backed by MCP tooling, helping teams choose services, migrate workloads, and troubleshoot production issues.

Design scalable AWS architectures for startups with guided workflows covering requirement gathering, architecture pattern selection, IaC template generation, cost analysis, and deployment/validation using Lambda, API Gateway, ECS, Aurora, and optimization scripts.

Design scalable AWS architectures for startups with guided workflows covering requirement gathering, architecture pattern selection, IaC template generation, cost analysis, and deployment/validation using Lambda, API Gateway, ECS, Aurora, and optimization scripts.

Orchestrate Ayrshare operations through the Composio Ayrshare toolkit via Rube MCP, covering tool discovery, connection checks, schema compliance, and multi-tool execution flows for reliable social publishing automation.

Orchestrate Ayrshare operations through the Composio Ayrshare toolkit via Rube MCP, covering tool discovery, connection checks, schema compliance, and multi-tool execution flows for reliable social publishing automation.

A comprehensive solution for deploying multi-service, containerized applications (frontend + backend) to Azure Container Apps. This utility uses the Azure Developer CLI (azd) to manage the entire lifecycle, ensuring idempotent infrastructure provisioning, remote builds, managed identity integration, and robust environment configuration across development, staging, and production environments.

A comprehensive solution for deploying multi-service, containerized applications (frontend + backend) to Azure Container Apps. This utility uses the Azure Developer CLI (azd) to manage the entire lifecycle, ensuring idempotent infrastructure provisioning, remote builds, managed identity integration, and robust environment configuration across development, staging, and production environments.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

This SDK provides a comprehensive interface for managing application configuration within Azure App Configuration using Python. It enables centralized management of settings, allows controlling feature flags for gradual rollouts, and facilitates version control through configuration snapshots. It supports various authentication methods, including connection strings and Entra ID, making it ideal for robust, dynamic microservices deployment.

This SDK provides a comprehensive interface for managing application configuration within Azure App Configuration using Python. It enables centralized management of settings, allows controlling feature flags for gradual rollouts, and facilitates version control through configuration snapshots. It supports various authentication methods, including connection strings and Entra ID, making it ideal for robust, dynamic microservices deployment.