Python Reviewer

🌐Community
by physics91 · vlatest · Repository

Analyzes Python code for style, errors, and potential performance improvements using physics91's custom ruleset.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add python-reviewer npx -- -y @trustedskills/python-reviewer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "python-reviewer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/python-reviewer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

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-reviewer to 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.

Tags

🛡️

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Details

Version
vlatest
License
Author
physics91
Installs
4

🌐 Community

Passed automated security scans.