Python Expert Best Practices Code Review

The python-expert-best-practices-code-review skill enables AI agents to perform rigorous code audits on Python projects. It identifies security vulnerabilities, enforces style consistency, and suggests architectural improvements based on industry standards like PEP 8.

When to use it

• Before merging pull requests in a team environment to ensure uniform coding standards.
• During the initial setup of a new repository to establish secure and maintainable foundations.
• When refactoring legacy codebases to modernize patterns and reduce technical debt.
• To validate third-party contributions against specific project guidelines before integration.

Key capabilities

• Detects common security flaws such as SQL injection risks or unsafe deserialization.
• Enforces PEP 8 compliance regarding indentation, variable naming, and line length.
• Analyzes dependency usage to flag outdated or vulnerable packages.
• Recommends refactoring opportunities to improve readability and performance.

Example prompts

• "Review this Python module for security vulnerabilities and suggest fixes."
• "Analyze the following code snippet against PEP 8 standards and list all violations."
• "Audit this project structure for best practices and recommend architectural improvements."

Tips & gotchas

Ensure the AI agent has access to the full context of the codebase, as isolated snippets may miss broader security implications. While the skill highlights issues, always verify critical changes manually before deploying to production.