Does this skill provide ready-to-use code snippets?

While the skill includes patterns and examples, its primary focus is teaching architectural decision-making and logic rather than simple copy-paste code.

Does it include testing strategies?

Yes, it covers testing principles using pytest, including strategies for unit, integration, and async testing, along with fixture management.

How does it help with async programming in Python?

It provides a clear 'Golden Rule' and decision tree for identifying I/O-bound vs. CPU-bound tasks, ensuring you use async def and sync def correctly within your codebase.

Which Python frameworks are covered in this skill?

The skill provides deep insights and comparison principles for FastAPI, Django, and Flask, helping you select the right tool based on your project's specific needs.

Is this skill updated for 2025 standards?

Yes, it incorporates 2025 development principles, including Django 5.0+ async features, Pydantic v2 integration, and modern project structures like pyproject.toml.

Python Development Patterns

Name: Python Development Patterns
Author: darthlinuxer

bydarthlinuxer

0•

API Development

Guides Python architectural decisions using modern 2025 principles for framework selection, async patterns, and project structure.

This skill provides a strategic framework for Python development, helping developers navigate complex architectural decisions in 2025. It moves beyond simple code completion by teaching the reasoning behind framework selection (FastAPI vs. Django), async vs. sync execution, type hinting strategies with Pydantic, and scalable project organization. It is an essential companion for building robust APIs, microservices, and full-stack applications where maintainability and performance are critical.

Key Features

01Async vs. Sync decision trees for optimized I/O and CPU operations

02Context-aware framework selection logic for FastAPI, Django, and Flask

03Scalable project structure templates for scripts to enterprise apps

04Modern type hinting and Pydantic v2 validation strategies

05Standardized error handling and background task management patterns

060 GitHub stars

Use Cases

01Implementing efficient async patterns for high-concurrency API endpoints

02Architecting a new microservice and choosing between FastAPI or Django

03Refactoring a legacy Python script into a structured, typed application

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add darthlinuxer/agentic-skills python-patterns

For use in Claude.ai and ChatGPT

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