python

Name: python
Availability: InStock
Author: boludo00

Develop Python 3.11+ backend services with FastAPI and SQLAlchemy.

80|8|Updated Jan 15, 2026

Search Tags:#fastapi #python #backend #api development #async #sqlalchemy

Ready to run

npx skills add https://github.com/boludo00/bookkeep --skill python-boludo00

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python
Source: https://github.com/boludo00/bookkeep/tree/main/.claude/skills/python
Command: npx skills add https://github.com/boludo00/bookkeep --skill python-boludo00

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides the tools and guidance to develop robust, asynchronous backend services for the Bookkeep application, focusing on efficient data handling and API interactions.

Core Features & Use Cases

FastAPI Development: Build RESTful APIs with asynchronous capabilities.
Database Operations: Interact with the PostgreSQL database using SQLAlchemy ORM.
Data Validation: Utilize Pydantic for request and response data modeling.
Use Case: Implement a new API endpoint to fetch book details, including related author information, ensuring data integrity and efficient retrieval.

Quick Start

Use the python skill to create a new FastAPI router for managing user profiles.

Frequently Asked Questions about python

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

FAQPage Schema

How do I build a FastAPI router for backend services?▼

To build a FastAPI router for backend services, this Skill generates asynchronous Python 3.11+ code, focusing on creating RESTful API endpoints within the backend/app/ directory.

What's the best way to handle async database operations in Python?▼

Handling async database operations in Python is achieved here by using the SQLAlchemy ORM, enabling efficient asynchronous interactions with a PostgreSQL database for data retrieval.

How do I validate API request data using Pydantic in a FastAPI application?▼

Validating API request data using Pydantic in a FastAPI application is handled by generating Pydantic schemas, ensuring data integrity for incoming requests and outgoing responses.

Do I need uv to manage packages for Python backend development?▼

Yes, you need uv to manage packages for Python backend development with this Skill, as it explicitly utilizes uv for dependency management alongside structlog for logging.

Can I implement background tasks with FastAPI and SQLAlchemy?▼

Yes, you can implement background tasks with FastAPI and SQLAlchemy, as this Skill specifically focuses on writing background tasks and database operations using asynchronous patterns.