Python Best Practices
CheckedHelps with Python, best practices as part of developing backend services and APIs workflows.
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Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add alleneubank/claude-code --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
0xbigboss
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
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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
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No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned 0xbigboss/claude-code at 2921eb8a68.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 2921eb8a68
- Scanned
- 1 file, 106 lines
About this skill
What it does
This skill provides guidance on writing clean, efficient, and maintainable Python code. It includes best practices such as proper use of data structures, error handling, code organization, and performance optimization.
When to use it
- You're developing a new Python application and want to follow industry-standard coding conventions.
- You're refactoring legacy code to improve readability and maintainability.
- You're preparing for a code review and need to ensure your implementation aligns with best practices.
- You're mentoring junior developers and want to share proven Python development techniques.
Key capabilities
- Code structure and organization tips
- Effective use of built-in data types and functions
- Proper error handling and exception management
- Performance optimization strategies
- Documentation and testing recommendations
Example prompts
- "How can I write more readable Python code?"
- "What are the best practices for handling exceptions in Python?"
- "How do I optimize a slow-running Python script?"
Tips & gotchas
- Always test your code after applying changes to ensure it still works as expected.
- Some best practices may vary depending on project requirements or team conventions, so adapt them accordingly.