Clean Code

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Rules file

---
description: Guidelines for writing clean, maintainable, and human-readable code. Apply these rules when writing or reviewing code to ensure consistency and quality.
globs: ["**/*"]
alwaysApply: false
---
# 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

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Security

Scanned Nov 4, 2026 at commit b044f956f021, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan