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Python Clean Code

Checked
ertugrul-dmr·vlatest·backend·MIT

Refactors Python code to improve readability, efficiency, and adherence to PEP 8 style guidelines.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add ertugrul-dmr/clean-code-skills --skill python-clean-code -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ertugrul-dmr

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ertugrul-dmr/clean-code-skills at 1b6b3cc126.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1b6b3cc126
Manifest
skills/python/python-clean-code/SKILL.md
Scanned
1 file, 130 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill helps AI agents refactor and improve Python code to adhere to clean coding principles. It identifies areas for improvement, such as overly complex logic or inconsistent formatting, and suggests changes to enhance readability and maintainability. The agent can then apply these suggestions automatically or review them before implementation.

When to use it

  • Code Review: Use this skill when reviewing existing Python codebases to identify potential issues and improve overall quality.
  • Refactoring Legacy Code: Apply the skill to older, less maintainable Python scripts that need modernization.
  • New Project Setup: Integrate this skill into a new project's development workflow to establish clean coding standards from the outset.
  • Learning Tool: Use it as an educational tool to understand and apply best practices for writing clean Python code.

Key capabilities

  • Code formatting according to PEP 8 guidelines
  • Identification of complex or redundant code blocks
  • Suggestion of more descriptive variable names
  • Refactoring logic into smaller, reusable functions
  • Automated application of suggested changes

Example prompts

  • "Please review this Python script and suggest improvements for readability."
  • "Can you refactor this function to be more concise and efficient?"
  • "Format the following code block according to PEP 8 standards."

Tips & gotchas

The skill is most effective when provided with well-structured Python code. While it can identify areas for improvement in less organized code, the suggestions may require careful review and adjustment.