๐Ÿงน
QualityPython

Clean Code

by softspark

Clean Code is a Quality skill for Claude Code, published by softspark in ai-toolkit.

170 stars20 forkson softspark/ai-toolkitAdded 2026/09/08+2% in starsRepository updated 2026/09/07
ai-agentsai-skillsanthropicclaudeclaude-codeclinecodexcopilotcursorgeminimcpopencodetoolkitwindsurf
Install in seconds
Install Clean Code
Copy Clean Code into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/softspark/ai-toolkit/tree/main/app/skills/clean-code ~/.claude/skills/clean-code

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/softspark/ai-toolkit.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
app/skills/clean-code/SKILL.md in softspark/ai-toolkit
Installs to
~/.claude/skills/clean-code
Collection
One of 25 skills cataloged from this repository
Category
Quality โ€” 1897 skills

What Clean Code does

Clean Code helps you improve readability and maintainability by applying meaningful names, SRP, DRY, small functions, and guard clauses. Use it when reviewing or refactoring code with smells like long methods, god classes, or dead code.

Clean Code is cataloged under Quality on DirSkills. Clean Code comes from a repository tagged ai-agents, ai-skills, anthropic, claude and claude-code.

Documentation

README

Clean Code Skill

Core Principles

1. Meaningful Names

# Bad
def calc(a, b):
    return a * b

# Good
def calculate_total_price(unit_price: float, quantity: int) -> float:
    return unit_price * quantity

2. Single Responsibility

# Bad - does too much
def process_user(user_data):
    validate(user_data)
    user = create_user(user_data)
    send_welcome_email(user)
    log_creation(user)
    return user

# Good - each function does one thing
def create_user(user_data: UserData) -> User:
    return User(**user_data)

def onboard_user(user_data: UserData) -> User:
    user = create_user(user_data)
    send_welcome_email(user)
    log_user_creation(user)
    return user

3. DRY (Don't Repeat Yourself)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Clean Code

  • What else does softspark publish alongside Clean Code?

    Clean Code is one of 25 skills that DirSkills catalogs from softspark/ai-toolkit, the repository it ships in. Its siblings there include API Patterns, Accessibility Validator and Agent Creator. Each one is a separate skill with its own page in this directory, installs the same way Clean Code does, and is maintained by softspark in that same repository. The rest of the collection is listed on the softspark/ai-toolkit page.

  • How does Clean Code compare to other Quality skills?

    Clean Code ranks #1750 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Clean Code against them. Open each page to compare what they document and how they install.

More from softspark/ai-toolkit

Clean Code is one of 25 skills cataloged on DirSkills from softspark/ai-toolkit.

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