What is the 'good taste' philosophy in coding?

It is a philosophy popularized by Linus Torvalds that focuses on elegant data structures, minimal branching, and eliminating special cases to reduce system complexity.

How does Taste Check handle deep nesting?

The skill enforces a strict 3-level indentation limit. If code exceeds this, it suggests using early returns or extracting logic into independent, pure functions.

What does 'Trust Upstream Data' mean in this context?

It means removing redundant 'if' checks and default values in the core logic by ensuring data integrity is handled at the entry point or data collection layer.

Can I use this for specific files or git diffs?

Yes, you can direct the skill to review specific file paths, recent changes via git diff, or code snippets you paste directly into the chat.

Does it provide specific code examples?

Every review includes specific 'Before' and 'After' examples, showing exactly how to refactor 'bad taste' code into a cleaner, more efficient implementation.

Taste Check: Linus-Style Code Review

Name: Taste Check: Linus-Style Code Review
Author: kingkongshot

bykingkongshot

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2,336

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Collaboration Tools

Audits your code using Linus Torvalds' 'good taste' philosophy to eliminate complexity, deep nesting, and defensive patterns.

Taste Check transforms Claude into a ruthless code architect inspired by Linus Torvalds' engineering principles. It identifies 'code smells' that lead to fragile systems—such as excessive defensive checks, deep indentation, and post-return mutations—and provides clear, actionable refactoring paths. By enforcing a 'trust the data' and 'fail fast' approach, this skill helps developers strip away unnecessary boilerplate to create cleaner, more maintainable codebases that prioritize elegant data structures over bloated logic.

Key Features

01Detection and elimination of deep nesting beyond three levels of indentation.

02Side-by-side 'Current vs. Recommended' code comparisons for immediate refactoring.

03Automated 'Good Taste' scoring (Good, Okay, or Trash) based on architectural elegance.

04Identification of unnecessary defensive logic and redundant null/undefined checks.

05Enforcement of single-responsibility principles and strict function length limits.

062,336 GitHub stars

Use Cases

01Simplifying complex conditional logic and data processing pipelines.

02Refactoring legacy code to improve readability and long-term maintainability.

03Automating high-level architectural reviews during the PR process.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kingkongshot/prompts taste-check

For use in Claude.ai and ChatGPT

Download Skill