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python-patterns

Guide Python framework selection, async patterns, and project structure decisions.

7|1|Updated Mar 28, 2026
Search Tags:#python#patterns#async#type-hints#project-structure#framework-selection#development-principles
One-click install
npx skills add https://github.com/skeletorflet/opencode-kit --skill python-patterns-skeletorflet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/skeletorflet/opencode-kit/tree/main/.opencode/skills/python-patterns
Command: npx skills add https://github.com/skeletorflet/opencode-kit --skill python-patterns-skeletorflet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Python development decisions are often ad-hoc and pattern-centered rather than context-aware. This skill helps engineers think critically about framework choice, async vs sync strategies, and project structure.

Core Features & Use Cases

  • Framework selection guidance for Python projects (e.g., FastAPI, Django, Flask) considering async requirements.
  • Async vs Sync decision framework and typing strategy using Python type hints.
  • Project structure best practices for small to large applications, with concrete examples.

Quick Start

Describe a practical starting plan for selecting a Python framework and applying async patterns in a new project.

Frequently Asked Questions about python-patterns

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

FAQPage Schema
How do I choose a Python framework for my project's async requirements?▼

Framework selection for Python projects depends on async requirements. FastAPI supports async natively, while Django and Flask require specific considerations for async vs sync strategies and project structure.

When should I use async vs sync patterns in Python?▼

Async vs sync decisions in Python depend on I/O operations and concurrency needs. Async patterns benefit I/O-bound tasks, while sync strategies suit CPU-bound work, guided by type hints and project structure best practices.

What's the best way to structure a large Python project with type hints?▼

Project structure best practices for Python applications scale from small to large with concrete examples. Use type hints and development principles to maintain structured decision-making and guardrails across the codebase.

Does FastAPI work well for early-stage Python projects needing async patterns?▼

FastAPI works well for early-stage Python projects requiring async patterns. Framework selection guidance considers async requirements, ensuring structured decision-making with development principles and type hints.

Why does Python project decision-making need structured guardrails?▼

Python project decision-making needs structured guardrails because ad-hoc choices lead to pattern-centered rather than context-aware development. Principled guidance ensures framework selection, async strategies, and typing follow best practices.

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