Python Patterns
Helps with Python, patterns as part of developing backend services and APIs workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add python-patterns npx -- -y @trustedskills/python-patterns
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"python-patterns": {
"command": "npx",
"args": [
"-y",
"@trustedskills/python-patterns"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The python-patterns skill provides developers with a collection of common Python design patterns and best practices, enabling them to write more efficient, maintainable, and scalable code. It includes examples and implementations of patterns such as singletons, factories, decorators, and observers.
When to use it
- You're refactoring legacy Python code to improve structure and readability.
- You need to implement a specific design pattern quickly without reinventing the wheel.
- You're teaching or mentoring others in Python development and want ready-to-use examples.
- Your project requires consistent coding standards and reusable components.
Key capabilities
- Implements common Python design patterns (e.g., singleton, factory, decorator).
- Provides code examples for real-world use cases.
- Encourages best practices in object-oriented programming.
- Helps reduce redundancy and improve maintainability of codebases.
Example prompts
- "Show me an example of the factory pattern in Python."
- "Implement a singleton class to manage database connections."
- "How can I use decorators to add logging functionality to my functions?"
Tips & gotchas
- Ensure you understand the trade-offs of each design pattern before applying it.
- Some patterns may not be suitable for all contexts, so evaluate them based on your project's needs.
Tags
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