This skill empowers Claude with professional-grade Python architecture principles for 2025, moving beyond simple code generation to deep strategic thinking. It provides comprehensive logic for choosing between FastAPI, Django, and Flask, implementing robust async strategies, and structuring projects from simple scripts to enterprise-scale applications. By integrating Pydantic validation, modern type hinting, and testing best practices, it ensures your Python projects are scalable, maintainable, and aligned with current industry standards.
主な機能
01Strategic async vs sync implementation logic based on I/O and CPU context
02Modern Pydantic v2 and type hint integration patterns
03Framework selection decision trees for FastAPI, Django, and Flask
04101 GitHub stars
05Standardized project structuring for small to enterprise-scale applications
06Best practices for background tasks, error handling, and async testing
ユースケース
01Refactoring legacy sync code into high-performance async patterns
02Selecting the optimal backend framework for a new microservice or full-stack web app
03Designing scalable project structures and data validation schemas using Pydantic