Python Reviewer
ListedAnalyzes Python code for style, errors, and potential performance improvements using physics91's custom ruleset.
Install on your platform
python-reviewer. physics91/claude-vibe is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
physics91
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
We could not read this skill's source, so none of the checks below were run.
About this skill
What it does
The python-reviewer skill analyzes Python code and provides feedback on style, potential errors, and adherence to best practices. It can identify common coding mistakes, suggest improvements for readability, and help ensure the code meets specific quality standards. This skill leverages static analysis tools to automate parts of the code review process.
When to use it
- Code Quality Assurance: Before merging a pull request or deploying new code, run
python-reviewerto catch potential issues early. - Learning and Mentorship: New developers can use this skill to understand coding conventions and improve their skills through automated feedback.
- Automated Linting: Integrate the skill into CI/CD pipelines for continuous code quality checks.
- Refactoring Assistance: Use it to identify areas in existing code that could benefit from refactoring or optimization.
Key capabilities
- Static code analysis
- Style checking (likely based on PEP 8)
- Error detection
- Code improvement suggestions
Example prompts
- "Review this Python script for style and potential errors: [paste code here]"
- "Can you analyze this function and suggest improvements? [paste function definition]"
- “Check the following code against PEP 8 guidelines: [paste code here]”
Tips & gotchas
The skill's effectiveness depends on the quality of the underlying static analysis tools. Ensure your Python environment is properly configured to allow for accurate analysis.