sc-principles

Validate Python code against KISS, Purity, SOLID, and Let It Crash principles.

19|2|Updated Aug 26, 2025
One-click install
npx skills add https://github.com/Tony363/SuperClaude --skill sc-principles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sc-principles
Source: https://github.com/Tony363/SuperClaude/tree/main/.claude/skills/sc-principles
Command: npx skills add https://github.com/Tony363/SuperClaude --skill sc-principles

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automatically enforces critical software engineering principles (KISS, Purity, SOLID, Let It Crash) to prevent code complexity, design flaws, and error handling anti-patterns, ensuring higher code quality and maintainability.

Core Features & Use Cases

  • Automated Principle Enforcement: Validates code against KISS, Purity, SOLID, and Let It Crash principles.
  • Early Detection: Catches violations during development or pre-commit, preventing bugs and technical debt.
  • Use Case: Integrate this Skill into your CI/CD pipeline or pre-commit hooks to automatically block commits or builds that violate established coding standards, ensuring a consistently high level of code quality across the team.

Quick Start

Run the sc-principles skill on the src directory to validate all code principles.

Frequently Asked Questions about sc-principles

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

FAQPage Schema
How do I validate Python code against SOLID principles and functional purity?

To validate Python code against SOLID principles and functional purity, use static analysis to detect design anti-patterns and impure functions. This catches violations early, ensuring maintainability and preventing technical debt.

How do I enforce KISS and Let It Crash principles in a CI/CD pipeline?

Enforce KISS and Let It Crash principles in a CI/CD pipeline by integrating validation gates. These gates perform static analysis to block builds violating code simplicity standards or containing improper error handling anti-patterns.

What is the best way to prevent complexity violations and technical debt in Python?

The best way to prevent complexity violations is applying automated static analysis against KISS and SOLID principles. This detects design flaws and blocks problematic code during development, ensuring high maintainability.

Does static analysis work for detecting impure functions and design anti-patterns?

Yes, static analysis works for detecting impure functions and design anti-patterns. By validating Python code against functional purity and SOLID principles, it identifies error handling issues and complexity violations automatically.

When do I need automated principle enforcement for software development workflows?

You need automated principle enforcement for software development workflows when requiring adherence to best practices in code simplicity, object-oriented design, functional purity, and robust error handling. It prevents bugs and technical debt early.