moai-lang-python

Name: moai-lang-python
Availability: InStock
Author: ajbcoding

Evaluate Python 3.13 development guidance for FastAPI, Django, and deployment patterns.

4|1|Updated Nov 18, 2025

Search Tags:#pytest #pydantic #fastapi #python #sqlalchemy

Ready to run

npx skills add https://github.com/AJBcoding/claude-skill-eval --skill moai-lang-python-ajbcoding

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai-lang-python
Source: https://github.com/AJBcoding/claude-skill-eval/tree/main/skills/moai-lang-python
Command: npx skills add https://github.com/AJBcoding/claude-skill-eval --skill moai-lang-python-ajbcoding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enterprise Python patterns for API development, ORM usage, async programming, and production deployment.

Core Features & Use Cases

✅ FastAPI/Django patterns with Pydantic v2
✅ SQLAlchemy 2.0 async usage
✅ Pytest and static type checking in production
✅ Deployment patterns (Docker, CI/CD, observability)

Quick Start

Create a FastAPI endpoint with Pydantic models and an async database call.

Frequently Asked Questions about moai-lang-python

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

FAQPage Schema

How do I build production-ready REST APIs with FastAPI and async database calls?▼

FastAPI with async patterns and SQLAlchemy 2.0 enables high-throughput REST APIs. Structure endpoints with Pydantic v2 models for validation, use async session management for database queries, and deploy in containerized environments with observability instrumentation for production reliability.

What's the best way to validate API request data in Python 3.13 applications?▼

Pydantic v2 provides runtime validation and serialization for API payloads. Define models as Python classes with type annotations, leverage discriminated unions for complex schemas, and integrate directly with FastAPI or Django to auto-generate OpenAPI documentation and catch invalid input before processing.

How do I test Python applications with pytest in production-grade environments?▼

Pytest enables fixture-based testing with static type checking via mypy integration. Structure tests around async functions, mock database calls with SQLAlchemy sessions, and combine with CI/CD pipelines to validate code before deployment across containerized services.

Can I use SQLAlchemy 2.0 with async I/O in FastAPI microservices?▼

SQLAlchemy v2 supports async drivers and session factories designed for FastAPI endpoints. Use `AsyncSession` for non-blocking database operations, pair with connection pooling for microservice deployments, and integrate observability to monitor query performance across distributed systems.

What deployment patterns work for Python 3.13 applications at scale?▼

Docker containerization, CI/CD automation, and observability instrumentation form the deployment foundation. FastAPI and Django both run in container orchestration platforms; combine with static type checking and comprehensive pytest coverage to ensure production stability and rapid incident response.