What is the 'good taste' philosophy in coding?

It is a design approach popularized by Linus Torvalds that focuses on elegant data structures and eliminating special cases rather than writing complex logic to handle edge cases.

What criteria does the skill use for its 'Taste' rating?

It rates code as 'Good Taste', 'So-so', or 'Trash' based on indentation levels, function length (ideally < 50 lines), and the presence of unnecessary branching or mutations.

Is this skill restricted to specific programming languages?

No, while the philosophy originated in C development, these principles of 'good taste' apply to TypeScript, Python, Java, and most other modern programming languages.

How does this skill help with refactoring?

It identifies specific anti-patterns like deep nesting or defensive defaults and provides concrete code examples showing how to simplify the logic.

Code Taste Review

Name: Code Taste Review
Author: Dicecho

byDicecho

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协作工具

Evaluates code quality using Linus Torvalds' 'good taste' philosophy to eliminate complexity and defensive programming patterns.

关于

The Code Taste Review skill acts as a rigorous auditor for your codebase, applying the strict architectural standards championed by Linus Torvalds. It identifies deep nesting, unnecessary defensive logic, and special-case branching that clutter software design. By focusing on data structure integrity and functional purity, this skill helps developers refactor messy logic into elegant, maintainable code. It provides a blunt, technical assessment of your work, categorizing snippets from 'Good Taste' to 'Trash' with actionable examples for immediate improvement.

主要功能

Identifies and eliminates deep nesting beyond three levels
Targets and removes 'dead code' and post-return mutations
Enforces single-responsibility principles and function length limits
1 GitHub stars
Detects unnecessary defensive programming and redundant null checks
Provides side-by-side refactoring examples for 'bad taste' vs 'good taste' code

使用场景

Performing high-standard code reviews for critical logic and performance-sensitive modules
Auditing new pull requests to ensure they adhere to clean-code philosophies before merging
Refactoring legacy functions to reduce complexity and improve readability

关于

主要功能

Identifies and eliminates deep nesting beyond three levels
Targets and removes 'dead code' and post-return mutations
Enforces single-responsibility principles and function length limits
1 GitHub stars
Detects unnecessary defensive programming and redundant null checks
Provides side-by-side refactoring examples for 'bad taste' vs 'good taste' code

使用场景

Performing high-standard code reviews for critical logic and performance-sensitive modules
Auditing new pull requests to ensure they adhere to clean-code philosophies before merging
Refactoring legacy functions to reduce complexity and improve readability