Skill UI

This resource is designed to document and guide the implementation of various architectural patterns and best practices when developing backend applications using the NestJS framework. It helps developers structure their code for maximum scalability and maintainability.

This guide outlines how to build new API connectors or providers that strictly adhere to the existing integration architecture and patterns of a target repository. It is designed for adding integrations while maintaining architectural consistency (e.g., layout, configuration schema, authentication model, and testing style), preventing the creation of novel, unsupported patterns.

This comprehensive guide covers Dependency Injection (DI) patterns specifically for Golang. It explains why DI is crucial for building testable, loosely coupled, and maintainable services. The skill compares manual constructor injection for small projects with advanced DI libraries (like google/wire, uber-go/dig) for complex architectures, focusing on best practices such as interface-based design and managing service lifecycles.

A comprehensive guide to creating production-ready, idiomatic Go applications. Covers critical patterns such as functional options, robust error handling, graceful shutdown, resource management, and architectural best practices. Ideal for refactoring existing Go code, choosing between architectural patterns, or designing scalable APIs and constructors.

Guides Go developers through struct/interface design best practices, covering interface segregation, composition, dependency injection, type assertions, and choosing pointer vs value receivers to keep APIs clear and testable.

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.

This skill performs a comprehensive security audit of Model Context Protocol (MCP) server configurations found in .mcp.json files. It is designed to identify critical vulnerabilities, including hardcoded secrets (API keys, tokens), dangerous shell injection patterns, unpinned dependencies, and compliance issues regarding approved server lists. Use this skill during security reviews, project onboarding, or pre-commit checks to ensure secure deployment.

This library provides a complete and verified set of grep command patterns designed for auditing existing React codebases. It is essential for developers preparing for major React upgrades, specifically migration audits for React 18.3.1 or React 19. It detects deprecated APIs, removed features, unsafe lifecycle methods, batching vulnerabilities, and dependency conflicts, ensuring a smooth transition.

Catalogs 42 cloud-agnostic design patterns that architects can apply when designing, reviewing, or operating distributed systems to boost reliability, performance, messaging, security, and deployment outcomes.

Guides architects through Dataverse SDK use cases by analyzing requirements, designing data models, selecting integration patterns, and producing production-ready Python code with best practices.

This guide provides proven architectural patterns for building complex, reliable, and scalable workflows using n8n. It covers core patterns like Webhook processing, HTTP API integration, database synchronization, AI agent design, and scheduled tasks. Learn how to select the right pattern and utilize advanced components for robust automation.