Can this skill help prevent over-engineering?

Yes, by applying YAGNI and Occam's Razor, it prompts the AI to suggest the simplest solution that solves current requirements rather than building for hypothetical future needs.

Which software principles are included in this skill?

The skill covers SOLID, DRY (Don't Repeat Yourself), KISS (Keep It Simple, Stupid), Miller's Law (cognitive limits), and YAGNI (You Aren't Gonna Need It).

How does this skill assist with code reviews?

It acts as a digital reviewer, evaluating code for single responsibility, proper dependency management, and unnecessary complexity that violates the 7±2 cognitive rule.

Is this skill language-agnostic?

Absolutely. While examples are often in TypeScript, the principles of SOLID, DRY, and YAGNI are universal to all programming paradigms and languages.

Software Design Principles & Best Practices

Name: Software Design Principles & Best Practices
Author: thkt

bythkt

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开发者工具

Applies fundamental software development principles like SOLID, DRY, and YAGNI to ensure high-quality, maintainable, and simple codebases.

关于

This skill integrates core software engineering methodologies—including SOLID, DRY, Occam's Razor (KISS), Miller's Law, and YAGNI—into a cohesive framework for AI-driven development. It provides Claude with specific guidelines to evaluate architectural decisions, manage cognitive load, and perform high-level code reviews. By using this skill, developers can reduce complexity, prevent over-engineering, and ensure that their code follows industry-standard best practices for long-term maintainability.

主要功能

Integration with code review tools to identify design debt
Comprehensive evaluation against SOLID and DRY principles
Prevents over-engineering through YAGNI and Occam’s Razor frameworks
Cognitive load assessment based on Miller's Law (7±2 rule)
3 GitHub stars
Detailed checklists for architecture design and refactoring

使用场景

High-level architectural design and system decision-making
Automated code quality audits and peer review assistance
Refactoring complex legacy logic into simple, modular components

关于

主要功能

Integration with code review tools to identify design debt
Comprehensive evaluation against SOLID and DRY principles
Prevents over-engineering through YAGNI and Occam’s Razor frameworks
Cognitive load assessment based on Miller's Law (7±2 rule)
3 GitHub stars
Detailed checklists for architecture design and refactoring

使用场景

High-level architectural design and system decision-making
Automated code quality audits and peer review assistance
Refactoring complex legacy logic into simple, modular components