Does this skill support asynchronous programming?

Yes, it is built specifically for async workflows, utilizing asyncpg for PostgreSQL and FastAPI's native asynchronous dependency injection.

How does it handle project structure?

It implements a clean separation of concerns with dedicated directories for API routes, Pydantic schemas, database models, and a services layer for business logic.

Is it compatible with legacy Pydantic or SQLAlchemy versions?

This skill focuses on modern 2025 standards (Pydantic v2 and SQLAlchemy 2.0) and helps refactor older patterns into these more performant versions.

Can I use this for database migrations?

The skill provides the foundational SQLAlchemy 2.0 models and engine setup required for migration tools like Alembic to function correctly.

What tools are included in the Modern Python Backend stack?

The skill uses uv for 100x faster package management, ruff for linting/formatting, FastAPI for the framework, SQLAlchemy 2.0 for async database access, and Pydantic v2 for validation.

Modern Python Backend Development

Name: Modern Python Backend Development
Author: timequity

bytimequity

0•

API Development

Builds high-performance Python APIs and asynchronous backend services using a modern stack including FastAPI, SQLAlchemy 2.0, and uv.

This skill provides a comprehensive blueprint for developing professional Python backends using industry-leading tools and patterns as of 2025. It automates the setup of high-performance environments using uv and ruff, implements robust asynchronous database interactions with SQLAlchemy 2.0, and enforces strict data validation via Pydantic v2. Designed for developers building scalable web services, it ensures consistent project structures, efficient dependency injection, and clean service-layer architecture while avoiding common legacy anti-patterns.

Key Features

01Strict type safety and validation with Pydantic v2 schemas

02Production-grade FastAPI implementation with lifespan management

03High-speed environment setup and linting using uv and ruff

04Modern asynchronous ORM patterns using SQLAlchemy 2.0 Mapped types

05Standardized multi-layer project architecture for scalability

060 GitHub stars

Use Cases

01Bootstrapping a production-ready asynchronous REST API from scratch

02Implementing high-performance microservices with integrated linting and testing

03Migrating legacy Python backends to modern SQLAlchemy and Pydantic patterns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add timequity/plugins backend-python

For use in Claude.ai and ChatGPT

Download Skill