Universal Anti-Patterns

Identify universal programming anti-patterns and recommend best practices across languages.

115|8|Updated Mar 30, 2025
One-click install
npx skills add https://github.com/Goldziher/spikard --skill universal-anti-patterns
Or copy as Structured Prompt for Agent
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Skill: Universal Anti-Patterns
Source: https://github.com/Goldziher/spikard/tree/main/.ai-rulez/skills/anti-patterns
Command: npx skills add https://github.com/Goldziher/spikard --skill universal-anti-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers avoid common, cross-language programming mistakes that lead to bugs, performance issues, and maintainability problems.

Core Features & Use Cases

  • Pattern Identification: Highlights universal anti-patterns across various programming languages.
  • Best Practice Guidance: Provides direct recommendations for safer and more robust coding practices.
  • Use Case: A developer is unsure about the best way to handle errors in Rust. This Skill would guide them to use Result<T, E> instead of unwrap/panic in production code.

Quick Start

Consult the Universal Anti-Patterns skill for guidance on avoiding common coding mistakes.

Frequently Asked Questions about Universal Anti-Patterns

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

FAQPage Schema
What are common software engineering anti-patterns for error handling in Rust?

Common Rust error handling anti-patterns include using unwrap or panic in production code instead of returning Result<T, E>. This practice prevents unhandled exceptions and improves overall software quality and maintainability.

How do I avoid blocking I/O in async Python functions?

To avoid blocking I/O in async Python, identify synchronous operations and replace them with non-blocking alternatives. This prevents performance bottlenecks and maintains responsive asynchronous execution for better software quality.

What is the best way to manage dependencies across multiple programming languages?

The best way to manage dependencies is avoiding manual dependency management by using built-in package managers. This cross-language best practice prevents version conflicts and improves code reuse and maintainability.

Does this coding standards guidance apply to both Python and TypeScript?

Yes, these coding standards apply universally across Python, TypeScript, and Rust. It identifies cross-language anti-patterns and provides best practice recommendations for state management and error handling.

Why should I avoid manual state management in favor of coding standards?

Avoiding manual state management prevents common anti-patterns that cause bugs and performance issues. Following established coding standards ensures robust software quality and better maintainability across languages.