skills/oimiragieo/agent-studio/code-quality-expert

code-quality-expert

SKILL.md

Code Quality Expert

clean code

When reviewing or writing code, apply these guidelines:

Clean Code Guidelines

Constants Over Magic Numbers

  • Replace hard-coded values with named constants
  • Use descriptive constant names that explain the value's purpose
  • Keep constants at the top of the file or in a dedicated constants file

Meaningful Names

  • Variables, functions, and classes should reveal their purpose
  • Names should explain why something exists and how it's used
  • Avoid abbreviations unless they're universally understood

Smart Comments

  • Don't comment on what the code does - make the code self-documenting
  • Use comments to explain why something is done a certain way
  • Document APIs, complex algorithms, and non-obvious side effects

Single Responsibility

  • Each function should do exactly one thing
  • Functions should be small and focused
  • If a function needs a comment to explain what it does, it should be split

DRY (Don't Repeat Yourself)

  • Extract repeated code into reusable functions
  • Share common logic through proper abstraction
  • Maintain single sources of truth

Clean Structure

  • Keep related code together
  • Organize code in a logical hierarchy
  • Use consistent file and folder naming conventions

Encapsulation

  • Hide implementation details
  • Expose clear interfaces
  • Move nested conditionals into well-named functions

Code Quality Maintenance

  • Refactor continuously
  • Fix technical debt early
  • Leave code cleaner than you found it

Testing

  • Write tests before fixing bugs
  • Keep tests readable and maintainable
  • Test edge cases and error conditions

Version Control

  • Write clear commit messages
  • Make small, focused commits
  • Use meaningful branch names

code quality and best practices

When reviewing or writing code, apply these guidelines:

  • Adhere to code quality and best practices.
  • Apply relevant paradigms and principles.
  • Use semantic naming and abstractions.

code quality standards

When reviewing or writing code, apply the principles above consistently. Focus on:

  • Readability over cleverness
  • Consistency within the codebase
  • Progressive improvement (leave code better than you found it)

Consolidated Skills

This expert skill consolidates 1 individual skills:

  • code-quality-expert

Iron Laws

  1. ALWAYS leave code cleaner than you found it — every change is an opportunity for progressive improvement; accumulating small improvements prevents large-scale refactors from becoming necessary.
  2. NEVER use magic numbers — hard-coded values without context make code unreadable and unmaintainable; always extract to named constants with descriptive names that explain the purpose.
  3. ALWAYS write self-documenting code first, then add comments only for "why" — comments explaining "what" the code does are redundant and become stale; reserve comments for non-obvious design decisions.
  4. NEVER allow functions to do more than one thing — single responsibility is the strongest predictor of testability and maintainability; a function needing a "and" in its name should be split.
  5. NEVER optimize prematurely — write clear, correct code first; profile to identify actual bottlenecks before optimizing; premature optimization produces complex code with unmeasured benefit.

Anti-Patterns

Anti-Pattern Why It Fails Correct Approach
Magic numbers in logic if (status === 200) is opaque; value could change Extract to const HTTP_OK = 200 with clear name
Comments explaining "what" not "why" Code changes make comments stale and misleading Write self-documenting code; comment only design rationale
God functions (>50 lines, multiple concerns) Hard to test, debug, and modify independently Extract single-purpose functions with clear names
Premature optimization Adds complexity before proving a bottleneck exists Profile first; only optimize measured hot paths
Duplicated code blocks Bug fixes must be applied in N places Extract to reusable function; DRY principle

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing: Record any new patterns or exceptions discovered.

ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

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