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clean-code

clean-code

github.com/jackjin1997Development1357 installsUpdated 19w ago
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About clean-code

A coding skill that applies Clean Code principles to naming, functions, comments, formatting, error handling, classes, and tests. It is intended for developers refining working code for readability and maintainability.

Key features

  1. 01Choose intention-revealing names
  2. 02Keep functions focused and small
  3. 03Improve code clarity and formatting
  4. 04Apply error-handling principles
  5. 05Use TDD and FIRST test principles

Use cases

  1. 01Review names and function responsibilities
  2. 02Refactor unclear or repetitive code
  3. 03Check a change against testing principles

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jackjin1997/clawforge --skill clean-code

After installing, type/clean-codein Claude Code to confirm it loaded.

Details

From the project README

Clean Code Skill

This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."

🧠 Core Philosophy

"Code is clean if it can be read, and enhanced by a developer other than its original author." — Grady Booch

1. Meaningful Names

  • Use Intention-Revealing Names: elapsedTimeInDays instead of d.
  • Avoid Disinformation: Don't use accountList if it's actually a Map.
  • Make Meaningful Distinctions: Avoid ProductData vs ProductInfo.
  • Use Pronounceable/Searchable Names: Avoid genymdhms.
  • Class Names: Use nouns (Customer, WikiPage). Avoid Manager, Data.
  • Method Names: Use verbs (postPayment, deletePage).

2. Functions

  • Small!: Functions should be shorter than you think.
  • Do One Thing: A function should do only one thing, and do it well.
  • One Level of Abstraction: Don't mix high-level business logic with low-level details (like regex).
  • Descriptive Names: isPasswordValid is better than check.
  • Arguments: 0 is ideal, 1-2 is okay, 3+ requires a very strong justification.
  • No Side Effects: Functions shouldn't secretly change global state.

3. Comments

  • Don't Comment Bad Code—Rewrite It: Most comments are a sign of failure to express ourselves in code.
  • Explain Yourself in Code:
    # Check if employee is eligible for full benefits
    if employee.flags & HOURLY and employee.age > 65:
    
    vs
    if employee.isEligibleForFullBenefits():
    
  • Good Comments: Legal, Informative (regex intent), Clarification (external libraries), TODOs.
  • Bad Comments: Mumbling, Redundant, Misleading, Mandated, Noise, Position Markers.

4. Formatting

  • The Newspaper Metaphor: High-level concepts at the top, details at the bottom.
  • Vertical Density: Related lines should be close to each other.
  • Distance: Variables should be declared near their usage.
  • Indentation: Essential for structural readability.

5. Objects and Data Structures

  • Data Abstraction: Hide the implementation behind interfaces.
  • The Law of Demeter: A module should not know about the innards of the objects it manipulates. Avoid a.getB().getC().doSomething().
  • Data Transfer Objects (DTO): Classes with public variables and no functions.

6. Error Handling

  • Use Exceptions instead of Return Codes: Keeps logic clean.
  • Write Try-Catch-Finally First: Defines the scope of the operation.
  • Don't Return Null: It forces the caller to check for null every time.
  • Don't Pass Null: Leads to NullPointerException.

7. Unit Tests

  • The Three Laws of TDD:
    1. Don't write production code until you have a failing unit test.
    2. Don't write more of a unit test than is sufficient to fail.
    3. Don't write more production code than is sufficient to pass the failing test.
  • F.I.R.S.T. Principles: Fast, Independent, Repeatable, Self-Validating, Timely.

8. Classes

  • Small!: Classes should have a single responsibility (SRP).
  • The Stepdown Rule: We want the code to read like a top-down narrative.

9. Smells and Heuristics

  • Rigidity: Hard to change.
  • Fragility: Breaks in many places.
  • Immobility: Hard to reuse.
  • Viscosity: Hard to do the right thing.
  • Needless Complexity/Repetition.

🛠️ Implementation Checklist

  • Is this function smaller than 20 lines?
  • Does this function do exactly one thing?
  • Are all names searchable and intention-revealing?
  • Have I avoided comments by making the code clearer?
  • Am I passing too many arguments?
  • Is there a failing test for this change?

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