How does the grading system work?

Code is graded as 'Good' (clean, zero defensive code), 'So-so' (minor smells, 3-level nesting), or 'Trash' (deep nesting, long functions, or significant defensive logic) based on strict technical criteria.

What is the 'good taste' philosophy in coding?

The 'good taste' philosophy, popularized by Linus Torvalds, emphasizes using superior data structures to eliminate edge cases and complex conditional logic, leading to cleaner and more maintainable code.

Why is the feedback from this skill so blunt?

The skill adopts the persona of Linus Torvalds, prioritizing technical accuracy and directness over politeness to ensure code quality issues are addressed without ambiguity.

Does this skill support specific files or git changes?

Yes, you can ask the skill to review specific file paths, recent git diffs, or code snippets pasted directly into the chat.

Linus Code Taste Review

Name: Linus Code Taste Review
Author: Activer007

byActiver007

0•

Developer Tools

Reviews source code using Linus Torvalds' 'good taste' philosophy to eliminate defensive patterns, special cases, and deep nesting.

This skill adopts the rigorous technical philosophy of Linus Torvalds to perform high-level code quality audits focused on simplicity and structural elegance. It evaluates codebases for 'good taste' by identifying anti-patterns like excessive indentation, unnecessary defensive checks, and post-return mutations. By enforcing a strict 3-level nesting limit and prioritizing clean data structures over complex logic, this skill helps developers refactor messy code into maintainable, high-performance systems while providing blunt, technical feedback in the persona of the Linux kernel creator.

Key Features

01Enforces a maximum 3-level indentation rule for better readability

020 GitHub stars

03Identifies and removes post-return mutations to ensure data integrity

04Eliminates redundant defensive code and unnecessary null checks

05Provides a 'Good Taste' grading system (Good, So-so, or Trash)

06Offers concrete refactoring examples with 'Before' and 'After' snippets

Use Cases

01Pre-pull request audits to ensure code meets high structural standards

02Refactoring legacy functions that have become overly complex or deeply nested

03Establishing a 'fail-fast' architecture by moving validation logic upstream

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills taste-check

For use in Claude.ai and ChatGPT

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