universal-patterns

Guide language-agnostic software development with architecture patterns and coding best practices.

7|4|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/MadAppGang/magus --skill universal-patterns
Or copy as Structured Prompt for Agent
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Skill: universal-patterns
Source: https://github.com/MadAppGang/magus/tree/main/plugins/dev/skills/core/universal-patterns
Command: npx skills add https://github.com/MadAppGang/magus --skill universal-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides guidance on implementing language-agnostic software design patterns and best practices to improve code quality, maintainability, and robustness across any technology stack.

Core Features & Use Cases

  • Architecture Patterns: Understand and apply layered, clean, and component-based architectures.
  • Code Organization: Implement principles like Single Responsibility, Dependency Injection, and Interface Segregation.
  • Error Handling: Utilize strategies like Fail Fast, Error Boundaries, and Result Types.
  • Data Flow: Design with Unidirectional Data Flow, Event-Driven Architecture, and Command Query Separation.
  • Naming Conventions: Follow established conventions for functions, variables, and files.
  • Quality & Anti-Patterns: Use checklists for code quality and avoid common pitfalls.
  • Performance & Security: Adhere to core principles for efficient and secure development.

Quick Start

Consult the universal-patterns skill for guidance on applying the Single Responsibility Principle to a new module.

Frequently Asked Questions about universal-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What are the best practices for language-agnostic software architecture?

Common code organization anti-patterns to avoid include violating the Single Responsibility Principle, creating tightly coupled modules without dependency injection, and using inconsistent naming conventions. Recognizing these pitfalls helps maintain clean code and structural integrity across your project.

How do I implement error handling strategies that work across any tech stack?

To implement cross-stack error handling strategies, utilize patterns like Fail Fast, Error Boundaries, and Result Types. These approaches standardize failure management and robustly contain errors regardless of the underlying programming language or framework being used.

How do I apply SOLID principles and dependency injection in a new module?

Apply SOLID principles and dependency injection by enforcing the Single Responsibility and Interface Segregation rules within your module design. Inject dependencies externally to decouple components, ensuring clean architecture and improving overall code testability and maintainability.

When should I use unidirectional data flow versus event-driven architecture?

Use unidirectional data flow for predictable state management in UI components, whereas event-driven architecture suits asynchronous, decoupled backend services. Both data flow patterns structure communication differently based on your specific scalability and processing requirements.

Does this guide cover security and performance principles for clean code?

Yes, the guide covers security and performance principles essential for clean code development. It provides checklists to adhere to core efficiency and secure development standards, ensuring your architecture remains robust against vulnerabilities while maintaining optimal execution speed.