Does it cover project organization?

Yes, it provides specific structural templates for scripts, medium-sized APIs, and large-scale applications using layered or feature-based organization.

Is this skill just a code generator?

No, it focuses on teaching decision-making principles and architectural thinking to help you build better software, rather than just providing static code snippets.

What frameworks does this skill support?

The skill provides strategic guidance for choosing and implementing FastAPI, Django, and Flask based on your project's specific needs.

How does it help with async programming?

It provides a clear decision tree for choosing between async and sync patterns and suggests the best async libraries for databases and HTTP clients.

Does it include testing best practices?

Yes, it covers testing strategies for unit, integration, and E2E tests, specifically focusing on async testing with pytest-asyncio.

Python Development Patterns & Architecture

Name: Python Development Patterns & Architecture
Author: JantonioFC

byJantonioFC

•

API 开发

Guides Python architecture decisions including framework selection, async patterns, and modern development standards for 2025.

This skill empowers developers to make informed architectural decisions in the Python ecosystem by providing a principles-based approach to software design. It covers framework selection between FastAPI, Django, and Flask, navigates the complexities of async vs. sync programming, establishes robust type-hinting strategies, and defines scalable project structures. Rather than providing static code, it teaches the logic behind modern Python development, ensuring codebases are performant, maintainable, and aligned with current best practices for microservices, full-stack apps, and AI-driven APIs.

主要功能

01Integrated error handling and testing principles for robust builds

022 GitHub stars

03Comprehensive async vs. sync logic and library recommendations

04Advanced Pydantic validation and type-hinting strategies

05Framework decision trees for FastAPI, Django, and Flask selection

06Scalable project structure templates for various application sizes

使用场景

01Selecting the optimal web framework for a new microservice or full-stack project based on specific requirements.

02Architecting high-concurrency applications by correctly implementing async I/O and background tasks.

03Designing modular and maintainable directory structures for large-scale enterprise Python applications.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank python-patterns

For use in Claude.ai and ChatGPT

主要功能

01Integrated error handling and testing principles for robust builds

022 GitHub stars

03Comprehensive async vs. sync logic and library recommendations

04Advanced Pydantic validation and type-hinting strategies

05Framework decision trees for FastAPI, Django, and Flask selection

06Scalable project structure templates for various application sizes

使用场景

01Selecting the optimal web framework for a new microservice or full-stack project based on specific requirements.

02Architecting high-concurrency applications by correctly implementing async I/O and background tasks.

03Designing modular and maintainable directory structures for large-scale enterprise Python applications.