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janjaszczak
janjaszczakCOMMUNITY
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python-backend-fastapi

Automate FastAPI backend development with Pydantic v2 models and Alembic migrations.

1|Updated Jan 15, 2026
Search Tags:#pytest#pydantic#fastapi#backend#etl#alembic#api-design
One-click install
npx skills add https://github.com/janjaszczak/cursor --skill python-backend-fastapi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-backend-fastapi
Source: https://github.com/janjaszczak/cursor/tree/main/skills/python-backend
Command: npx skills add https://github.com/janjaszczak/cursor --skill python-backend-fastapi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill targets developers building modern Python backends with FastAPI and Pydantic v2, streamlining endpoint development, validation, and migrations to reduce boilerplate and errors.

Core Features & Use Cases

  • Thin endpoint handlers with a service layer to keep business logic out of controllers.
  • Pydantic v2 models & OpenAPI alignment for robust request/response validation and API contracts.
  • Alembic migrations & tests to manage schema changes reliably with idempotent upgrades/downgrades.
  • ETL/parsers and streaming data workflows with structured logging and error handling for ingestion pipelines.
  • ** pytest-based tests** to verify endpoints, services, and migrations across environments.

Quick Start

Start a FastAPI project, implement a new endpoint with a thin handler, add a service layer, and create an idempotent Alembic migration.

Frequently Asked Questions about python-backend-fastapi

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

FAQPage Schema
How do I structure FastAPI endpoints with a service layer?▼

Structure FastAPI endpoints by keeping thin handler logic in controllers and delegating business logic to a dedicated service layer. This separation reduces boilerplate and keeps API routing clean and maintainable.

How do I use Pydantic v2 models for API request and response validation?▼

Use Pydantic v2 models to enforce robust request and response validation. Aligning these models with OpenAPI schemas ensures strict API contracts and automatic documentation for FastAPI backends.

How do I create idempotent Alembic migrations for a FastAPI backend?▼

Create idempotent Alembic migrations to manage database schema changes reliably. This approach ensures safe upgrades and downgrades across environments, preventing schema drift in FastAPI backends.

Can I build streaming ETL and parsing pipelines with FastAPI?▼

Build streaming ETL and parsing pipelines with FastAPI using structured logging and error handling. This approach supports reliable data ingestion workflows within Python backend applications.

How do I write pytest tests for FastAPI endpoints and database migrations?▼

Write pytest tests to verify FastAPI endpoints, service layers, and Alembic migrations. This testing approach ensures backend operations function correctly across different environments and schema changes.

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