Skill UI

This guide outlines comprehensive best practices for documenting C# APIs using XML comments. It provides detailed rules for writing summaries, documenting parameters, return values, constructors, properties, and handling exceptions. Following these standards ensures that C# codebases are highly maintainable, readable, and easily understood by other developers.

This skill guides the generation of a complete, production-ready Model Context Protocol (MCP) server using C# and .NET. It covers advanced architectural patterns, including Host builder setup, proper dependency injection, structured logging, and implementing robust functional tools. Ideal for developers building sophisticated AI agents or backend services that require standardized communication and tool invocation capabilities.

This comprehensive guide outlines best practices for writing high-quality, scalable, and maintainable code in .NET/C#. It covers core architectural principles, including SOLID, dependency injection, and design patterns (e.g., Command Handler). Furthermore, it addresses modern challenges such as structured logging, async/await patterns, secure coding, robust testing standards, and advanced AI integration using Semantic Kernel.

A comprehensive code review tool designed for C#/.NET projects. It evaluates the implementation of key design patterns (Command, Factory, Repository) and adherence to SOLID principles. The review covers architecture, best practices (async/await, logging), security, testability, and clean code principles, providing actionable recommendations for improvement.

A comprehensive guide for resolving complex timezone issues in .NET and C# applications. It provides production-safe patterns for handling location lookups, converting between Windows and IANA timezone IDs, managing Daylight Saving Time (DST), and ensuring cross-platform compatibility. Includes ready-to-use code snippets for TimeZoneInfo, NodaTime, and DateTimeOffset.

An advanced, AI-powered agent designed to generate comprehensive and workable unit tests for virtually any programming language (e.g., Python, C#, Java, Go, TypeScript). It operates via a sophisticated multi-agent pipeline (Research → Plan → Implement → Build → Test → Fix → Lint). This ensures generated tests are not only written following project conventions but also compile, pass all tests, and effectively improve code coverage.

Generates a complete Power Platform MCP connector server tuned for Copilot Studio, covering swagger/api metadata, C# scripting, JSON-RPC handling, tool/resource wiring, and deployment-ready configurations with schema-safe inputs and streamable MCP HTTP endpoints.