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Python Best Practices

Checked
rohitg00·vlatest·backend·Apache-2.0

Helps with Python, best practices as part of developing backend services and APIs workflows.

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 rohitg00/awesome-claude-code-toolkit --skill python-best-practices -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

rohitg00

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 rohitg00/awesome-claude-code-toolkit at ebdf1d596d.

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

Scanned
1 file, 263 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 write Python code that adheres to established best practices. It focuses on readability, maintainability, and efficiency through consistent formatting, clear naming conventions, and appropriate use of language features. The skill aims to produce high-quality, production-ready Python code.

When to use it

  • Refactoring existing Python codebases to improve clarity and consistency.
  • Generating new Python scripts or modules from scratch, ensuring adherence to best practices.
  • Automating the process of reviewing and correcting Python code for style and quality.
  • Creating educational examples demonstrating proper Python coding techniques.

Key capabilities

  • Code formatting (PEP 8 compliance)
  • Naming conventions
  • Readability improvements
  • Maintainability enhancements
  • Efficiency considerations

Example prompts

  • "Refactor this Python code to follow PEP 8 guidelines: [code snippet]"
  • "Write a Python function to calculate the factorial of a number, using best practices for naming and readability."
  • "Review this Python script and suggest improvements based on established coding standards."

Tips & gotchas

This skill assumes basic familiarity with Python syntax. While it can automatically format code, understanding the underlying principles of good coding practice will help you interpret its suggestions effectively.