Python Code Analyzer

## Features

Python Code Analyzer is a powerful code quality analysis tool designed specifically for Python developers. It can:

- **Static Code Analysis**: Detect common code issues and potential bugs
- **Performance Optimization Suggestions**: Identify performance bottlenecks and provide optimization solutions
- **Code Style Checking**: Follow PEP 8 and other best practice standards
- **Complexity Analysis**: Calculate cyclomatic complexity and cognitive complexity
- **Dependency Graph**: Visualize dependencies between modules

## Why Choose This Skill?

As an AI engineer, you often need to write and maintain large amounts of Python code. This Skill can help you:

1. **Improve Code Quality**: Automatically detect code issues, reducing manual review time
2. **Learn Best Practices**: Understand Python's best coding practices through suggestions
3. **Accelerate Development**: Quickly identify and fix issues, improving development efficiency
4. **Maintain Code Health**: Continuously monitor code quality, preventing technical debt accumulation

## Use Cases

### Case 1: Daily Development

When writing new features, use this Skill to get instant code quality feedback, ensuring every commit meets standards.

### Case 2: Code Review

Before conducting code reviews, analyze code with this Skill to automatically discover most issues, letting reviewers focus on business logic and architecture.

### Case 3: Refactoring Legacy Code

When refactoring old code, this Skill can help identify parts most in need of optimization and provide targeted improvement suggestions.

## Advanced Features

### Custom Rules

You can configure your own code rules to adapt to specific team needs:

```yaml
rules:
  max_line_length: 120
  max_function_length: 50
  max_complexity: 10
```

### CI/CD Integration

This Skill can be easily integrated into your continuous integration process, automating code quality checks.

### Report Generation

Supports generating reports in multiple formats (HTML, JSON, Markdown) for easy sharing and archiving.

## FAQ

**Q: Which Python versions does this Skill support?**
A: Supports Python 3.8 and above.

**Q: How long does it take to analyze large projects?**
A: Usually from a few seconds to a few minutes, depending on project size.

**Q: Can I customize check rules?**
A: Yes, custom rules are supported through configuration files.