Python Quality Checker
Analyzes Python code for style, errors, and potential improvements using established quality standards like PEP 8.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add python-quality-checker npx -- -y @trustedskills/python-quality-checker
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"python-quality-checker": {
"command": "npx",
"args": [
"-y",
"@trustedskills/python-quality-checker"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill analyzes Python code and provides feedback on its quality, identifying potential issues and suggesting improvements. It leverages static analysis tools to check for style violations (PEP 8), common errors, and adherence to best practices. The goal is to help developers write cleaner, more maintainable, and robust Python code.
When to use it
- Code Review: Automatically assess the quality of a pull request before merging into a main branch.
- Automated Linting: Integrate into a CI/CD pipeline to enforce coding standards across a project.
- Learning & Improvement: New developers can use it to understand and correct common Python code style issues.
- Refactoring: Identify areas in existing code that could benefit from improvements based on quality checks.
Key capabilities
- PEP 8 compliance checking
- Error detection
- Code style suggestions
- Static analysis
Example prompts
- "Check the quality of this Python code: [paste code here]"
- "Analyze this file for PEP 8 violations: /path/to/my_script.py"
- "Can you find any potential errors in this function? [paste function definition]"
Tips & gotchas
The skill requires a Python environment to be available and configured correctly. Ensure the necessary dependencies are installed before using it, as specific linters or analysis tools might need to be present.
Tags
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Security Audits
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