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
- 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.
- 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.
- 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.
- 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.
- 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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