How does this skill improve code quality?

It enforces production standards by pre-configuring Ruff for linting and formatting, and setting up Mypy for strict static type checking.

Does it work with web frameworks other than FastAPI?

While it features specific FastAPI patterns, the general principles for project structure, async I/O, type hinting, and testing apply to Django, Flask, and other modern frameworks.

Does it include database integration patterns?

Yes, it provides patterns for dependency injection and database interactions, specifically tailored for asynchronous database drivers and FastAPI.

What Python versions does this skill support?

This skill is specifically optimized for modern Python development, targeting version 3.12 and newer to leverage the latest language features and performance improvements.

Modern Python Development

Name: Modern Python Development
Author: januarfonti

byjanuarfonti

0•

Desarrollo de API

Streamlines the creation of production-grade Python applications using modern standards, FastAPI, and asynchronous patterns.

The Python Development skill equips Claude with the expertise to architect, develop, and test modern Python 3.12+ applications. It provides standardized project structures, strict type-hinting patterns, and advanced asynchronous workflows, making it ideal for building high-performance APIs with FastAPI, robust data processing scripts, and maintainable backend services. By integrating best practices like Ruff for linting and Mypy for static analysis, it ensures code quality and production readiness from the initial setup through deployment.

Características Principales

01High-performance FastAPI and Pydantic implementation patterns

02Strict type safety configuration using Mypy and modern TypeVars

03Comprehensive testing setup with Pytest and asynchronous mocking

04Standardized Python 3.12+ project scaffolding with pyproject.toml

05Advanced async/await patterns for I/O-bound operations and streaming

060 GitHub stars

Casos de Uso

01Modernizing legacy Python codebases to comply with current best practices

02Developing high-concurrency data processing and automation scripts

03Building scalable RESTful APIs with FastAPI and Pydantic validation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add januarfonti/opencode-template-configured python-development

For use in Claude.ai and ChatGPT

Características Principales

01High-performance FastAPI and Pydantic implementation patterns

02Strict type safety configuration using Mypy and modern TypeVars

03Comprehensive testing setup with Pytest and asynchronous mocking

04Standardized Python 3.12+ project scaffolding with pyproject.toml

05Advanced async/await patterns for I/O-bound operations and streaming

060 GitHub stars

Casos de Uso

01Modernizing legacy Python codebases to comply with current best practices

02Developing high-concurrency data processing and automation scripts

03Building scalable RESTful APIs with FastAPI and Pydantic validation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add januarfonti/opencode-template-configured python-development

For use in Claude.ai and ChatGPT