python-pro

Automate coding, refactoring, and performance optimization for Python 3.11+ web APIs.

3|1|Updated Dec 5, 2025
One-click install
npx skills add https://github.com/trungdo9/ClauKit --skill python-pro-trungdo9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/trungdo9/ClauKit/tree/main/skills/software/development/python-pro
Command: npx skills add https://github.com/trungdo9/ClauKit --skill python-pro-trungdo9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastapi, django, flask, sqlalchemy, pandas, numpy, scikit-learn, mypy, bandit, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the challenge of writing, optimizing, and debugging Python 3.11+ applications, particularly in web API development and performance profiling. It streamlines coding workflows, ensures adherence to best practices, and enhances code security.

Core Features & Use Cases

  • Python Development: Supports coding, reviewing, and refactoring Python 3.11+ code.
  • Web APIs: Assists in building and maintaining FastAPI, Django, and Flask APIs.
  • Performance: Helps in profiling and optimizing Python performance and code security.
  • Use Case: Ideal for developers looking to implement type-safe, modern Python applications with extensive type hinting, async programming, and security hardening features.

Quick Start

To start, initialize ClauKit and launch Claude Code, then activate the 'python-pro' skill with the command: claude /ck:python-pro

Frequently Asked Questions about python-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize Python 3.11 web API performance and security?

Python 3.11 web API performance and security optimization is automated by profiling code execution, hardening security with bandit, and refactoring for async programming patterns to ensure best practices for FastAPI, Django, and Flask applications.

What is the best way to refactor Python code for type safety with mypy?

Refactoring Python code for type safety with mypy involves automating type annotation additions and enforcing strict typing workflows. This approach streamlines coding workflows while maintaining type-safe modern Python applications.

Does this Python optimization approach support data science workflows with pandas and NumPy?

Yes, Python optimization supports data science workflows with pandas and NumPy by automating coding and refactoring tasks. It integrates tightly with SQLAlchemy, pandas, NumPy, and scikit-learn to streamline data processing pipelines.

Can I use this tool to build async FastAPI applications?

Yes, you can use this tool to build async FastAPI applications. It directly supports coding, reviewing, and maintaining FastAPI APIs with modern async programming patterns and extensive type hinting.

Do I need bandit and mypy installed to harden Python application security?

Yes, you need bandit and mypy installed to harden Python application security and enforce type safety. The environment requires Python 3.11+ along with these dependencies to automate security checks and type validation workflows.

When should I not use automated Python refactoring for web APIs?

Automated Python refactoring for web APIs may not suit projects running legacy Python versions below 3.11. It requires specific dependencies like FastAPI, Django, Flask, SQLAlchemy, pandas, NumPy, scikit-learn, mypy, and bandit to function correctly.