How does this skill handle Python dependency management?

It utilizes 'uv', a lightning-fast Python package installer and resolver that is 10-100x faster than traditional pip workflows.

Does it include linting and formatting configurations?

Yes, it integrates Ruff, the ultra-fast Python linter and formatter, to replace older tools like Black, Isort, and Flake8 with a single, fast tool.

Does it provide a recommended project structure?

Yes, it scaffolds a professional directory layout separating routes, schemas, services, and database models for maximum maintainability.

Are the database patterns optimized for modern hardware?

Yes, the skill enforces asynchronous database sessions and drivers (like asyncpg) to ensure non-blocking I/O and high concurrency.

Which Python frameworks does this skill support?

This skill primarily focuses on the modern async stack including FastAPI for web routing, SQLAlchemy 2.0 for database operations, and Pydantic v2 for data validation.

Modern Python Backend

Name: Modern Python Backend
Author: timequity

bytimequity

API Development

Architects high-performance Python APIs using FastAPI, SQLAlchemy 2.0, and modern async patterns for production-grade services.

About

This skill streamlines the development of asynchronous Python backend services by implementing a 2025-standard stack. It leverages 'uv' for high-speed package management and 'ruff' for unified linting and formatting, ensuring code quality and performance from the start. By providing robust boilerplate for FastAPI applications, SQLAlchemy 2.0 ORM patterns, and Pydantic v2 validation schemas, it enables developers to build type-safe, scalable, and maintainable web services while following industry best practices for dependency injection and error handling.

Key Features

Implements high-performance SQLAlchemy 2.0 asynchronous database patterns
Generates type-safe data validation and serialization schemas using Pydantic v2
0 GitHub stars
Scaffolds FastAPI projects with optimized, modular directory structures
Configures 'uv' and 'ruff' for rapid development and standardized formatting
Standardizes centralized error handling and dependency injection patterns

Use Cases

Building scalable RESTful APIs with automated interactive documentation
Setting up new Python projects with optimized 2025 tooling and linting standards
Migrating legacy synchronous Python services to modern asynchronous architectures

About

Key Features

Implements high-performance SQLAlchemy 2.0 asynchronous database patterns
Generates type-safe data validation and serialization schemas using Pydantic v2
0 GitHub stars
Scaffolds FastAPI projects with optimized, modular directory structures
Configures 'uv' and 'ruff' for rapid development and standardized formatting
Standardizes centralized error handling and dependency injection patterns

Use Cases

Building scalable RESTful APIs with automated interactive documentation
Setting up new Python projects with optimized 2025 tooling and linting standards
Migrating legacy synchronous Python services to modern asynchronous architectures