How does it handle data validation?

It leverages Pydantic v2.9 patterns, including model_validate patterns, cross-field validation using model_validator, and reusable Annotated types.

Is it optimized for async development?

Yes, it specializes in async patterns for FastAPI, SQLAlchemy 2.0, and comprehensive async testing using pytest-asyncio and httpx.

Can it help with modern Python package managers?

Absolutely. It includes best practices and configuration patterns for uv, Poetry, and standard pip-based workflows using pyproject.toml.

Does this skill support Python 3.13's experimental features?

Yes, it provides specific guidance for utilizing the new JIT compiler (PEP 744) and the experimental GIL-free mode (PEP 703) for multi-threaded performance.

Modern Python 3.13 Specialist

Name: Modern Python 3.13 Specialist
Author: modu-ai

bymodu-ai

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427

Desarrollo de API

Develops high-performance backends and data pipelines using Python 3.13+, FastAPI, Django, and modern async patterns.

Acerca de

The moai-lang-python skill transforms Claude into a senior Python architect specialized in the latest 3.13+ ecosystem standards. It provides expert implementation patterns for modern frameworks like FastAPI 0.115+ and Django 5.2, advanced data validation via Pydantic v2.9, and efficient async database interactions using SQLAlchemy 2.0. Whether you are leveraging experimental features like the JIT compiler and GIL-free mode, implementing complex structural typing with Protocols, or optimizing workflows with high-performance tools like uv and Ruff, this skill ensures your Python projects are scalable, type-safe, and production-ready.

Características Principales

Modern type hinting including Protocols, ParamSpec, and structural typing
Advanced async patterns for FastAPI, Django 5.2, and SQLAlchemy 2.0
Sophisticated data validation and modeling using Pydantic v2.9
High-performance package management with uv, Poetry, and Ruff integration
427 GitHub stars
Expert implementation of Python 3.13 features including JIT, GIL-free mode, and pattern matching

Casos de Uso

Implementing robust data pipelines and automated testing suites with pytest-asyncio
Migrating legacy Python codebases to Python 3.13 for performance and concurrency gains
Building scalable, async REST APIs and microservices with FastAPI and Pydantic

Acerca de

Características Principales

Modern type hinting including Protocols, ParamSpec, and structural typing
Advanced async patterns for FastAPI, Django 5.2, and SQLAlchemy 2.0
Sophisticated data validation and modeling using Pydantic v2.9
High-performance package management with uv, Poetry, and Ruff integration
427 GitHub stars
Expert implementation of Python 3.13 features including JIT, GIL-free mode, and pattern matching

Casos de Uso

Implementing robust data pipelines and automated testing suites with pytest-asyncio
Migrating legacy Python codebases to Python 3.13 for performance and concurrency gains
Building scalable, async REST APIs and microservices with FastAPI and Pydantic