How does this skill help with framework selection?

It provides a detailed decision tree comparing FastAPI, Django, and Flask based on specific project needs like API-first design, full-stack requirements, or learning purposes.

Does this skill provide boilerplate code to copy?

No, it is designed to teach decision-making principles and architectural thinking rather than providing static code snippets to copy-paste.

Can it help me decide between async and sync Python?

Yes, it offers specific criteria for choosing async for I/O-bound tasks and high-concurrency needs, versus sync for CPU-bound operations or simpler scripts.

Is it updated for the latest Python standards?

Yes, the skill is tailored for 2025 standards, covering modern features like Django 5.0+ async support and Pydantic v2 integration.

What testing strategies does it recommend?

It outlines a comprehensive strategy using pytest for unit, integration, and E2E testing, including specific patterns for testing asynchronous code.

Python Development Patterns

Name: Python Development Patterns
Author: claudiodearaujo

byclaudiodearaujo

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API 개발

Guides Python development through architectural decision-making, framework selection, and modern coding best practices for 2025.

소개

This skill acts as an architectural consultant for Python projects, moving beyond simple code generation to teach principled decision-making. It helps developers navigate the selection between frameworks like FastAPI, Django, and Flask, determine when to implement async vs sync patterns, and establish robust type hinting strategies using Pydantic. By providing structured guidance on project organization and error handling, it ensures that Python applications are built to be scalable, maintainable, and aligned with modern industry standards.

주요 기능

Context-aware framework selection logic for FastAPI, Django, and Flask
Modern type hinting strategies and Pydantic validation patterns
1 GitHub stars
Best practices for background task management and error handling
Async vs Sync decision trees for optimized I/O and CPU performance
Standardized project structure blueprints for varied application scales

사용 사례

Bootstrapping a new Python web API or full-stack application with the right architecture
Designing scalable microservices with strict data validation and type safety
Refactoring legacy synchronous codebases to modern asynchronous patterns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro python-patterns

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개