Why does this skill prefer msgspec over Pydantic?

Msgspec is prioritized because it is significantly faster and more memory-efficient than Pydantic, making it ideal for high-performance serialization and validation tasks.

Does this skill allow the use of the Any type in Python?

No, this skill enforces a strict MyPy configuration that forbids the use of 'Any' to maintain maximum type safety and prevent runtime errors.

What are the testing requirements for this skill?

It enforces function-based testing using Pytest, requiring 95% coverage, real database integration where applicable, and avoids class-based test structures.

Which Python versions are supported by this skill?

This skill is specifically designed for Python 3.10 and later, utilizing modern features such as match/case statements, union types, and structural pattern matching.

How does this skill handle I/O operations?

It mandates a fully asynchronous approach using libraries like anyio, httpx, and asyncpg to ensure non-blocking performance and high concurrency.

Modern Python Performance Standards

Name: Modern Python Performance Standards
Author: kreuzberg-dev

bykreuzberg-dev

•

480

API Development

Enforces high-performance Python 3.10+ standards using functional paradigms, strict typing, and high-speed serialization.

About

This skill equips Claude with the expertise to architect enterprise-grade Python applications focusing on maximum performance and type safety. It prioritizes the msgspec library over Pydantic for high-speed serialization, enforces fully asynchronous I/O patterns, and implements functional programming principles to reduce side effects. By leveraging Python 3.10+ features like structural pattern matching and union types alongside strict MyPy configurations, it ensures codebase maintainability and O(1) efficiency in performance-critical paths.

Key Features

480 GitHub stars
Implements ultra-fast msgspec serialization with memory-efficient slots
Promotes functional-first patterns with pure functions and immutability
Standardizes testing with function-based Pytest fixtures and 95% coverage
Enforces strict type safety using MyPy and structural typing protocols
Ensures fully asynchronous execution using AnyIO, HTTPX, and AsyncPG

Use Cases

Architecting high-throughput backend services with Python 3.10+
Refactoring legacy sync code into high-performance async workflows
Enforcing strict code quality and typing standards in mission-critical applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kreuzberg-dev/html-to-markdown python-modern-performance-standards

For use in Claude.ai and ChatGPT

Download Skill

GitHub