How does this skill improve my code reviews?

It provides a framework to identify 'fatal issues' in design, suggests ways to eliminate redundant if/else branches, and evaluates if the code follows pragmatic, maintainable patterns.

Can this skill help with architectural design?

Yes, it includes an analysis framework that questions the core data design and complexity of a solution before any code is written, ensuring a solid foundation.

Does this skill support non-English workflows?

Yes, it is designed to trigger on both English and Chinese prompts related to code review, requirement analysis, and implementation tasks.

What does 'Data over code' mean in this context?

It means that if you design your data structures correctly, the code required to handle them becomes simple and obvious, whereas poor data design leads to complex, buggy code.

What is the core philosophy of the Linus Coding Standards skill?

The core philosophy is that good programming 'taste' comes from prioritizing clean data structures over complex code logic and solving only real-world problems with the simplest possible approach.

Linus Coding Standards

Name: Linus Coding Standards
Author: 15195999826

by15195999826

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Collaboration Tools

Enforces Linus Torvalds' philosophy of simplicity and data-structure-first design to create high-quality, pragmatic code.

The Linus Coding Standards skill integrates the core software engineering principles of Linus Torvalds directly into your development workflow. It helps developers shift their focus from complex, 'clever' code to robust data structure design and pragmatic problem-solving. By prioritizing simplicity and eliminating unnecessary special cases, this skill ensures that your code is maintainable, efficient, and focused on solving real-world production issues rather than imaginary requirements.

Key Features

01Data-structure-first analysis to simplify complex conditional logic and branching.

020 GitHub stars

03Pragmatic problem verification to ensure development work addresses real production needs.

04High-integrity code review based on the 'good taste' philosophy of clean software design.

05Complexity reduction framework designed to halve unnecessary concepts and code volume.

06Assertion-driven logic patterns that favor explicit failures over silent defensive errors.

Use Cases

01Analyzing new feature requirements to design the simplest possible technical implementation.

02Conducting rigorous code reviews to identify fatal design flaws and structural improvements.

03Refactoring legacy codebases to reduce technical debt and improve architectural 'taste'.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add 15195999826/lomomarketplace linus-coding-standards

For use in Claude.ai and ChatGPT

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