Python Best Practices
CheckedHelps 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
Run this in your project
terminal$ npx skills add rohitg00/awesome-claude-code-toolkit --skill python-best-practices -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- ebdf1d596d
- Scanned
- 1 file, 263 lines
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.