What testing frameworks are supported?

The skill follows strict pytest standards, emphasizing the use of setup_method, async fixtures with anyio, and ensuring all network calls are properly mocked.

How does this skill handle Python type errors?

It employs a zero-tolerance approach to type errors by using Pyright, Protocols for structural typing, and minimizing the use of 'Any' in favor of specific types.

Does this skill support the latest Python features?

Yes, it is specifically optimized for Python 3.13+, utilizing modern syntax like TaskGroups, ExceptionGroups, and advanced type annotations.

Is security integrated into the code generation?

Yes, it enforces security-by-default including parameterized queries, secure session management, and the use of modern cryptographic libraries over legacy methods.

Can it help with database and API performance?

Absolutely. It focuses on avoiding N+1 queries through eager loading, implementing connection pooling, and utilizing async I/O to maximize throughput.

Python Development Expert

Name: Python Development Expert
Author: rstarkey

byrstarkey

API Development

Optimizes Python backend development using modern async patterns, robust type systems, and elite testing standards for Python 3.13+.

About

This skill transforms Claude into a senior-level Python engineer specialized in building scalable, performant, and type-safe backend architectures. It emphasizes modern Python 3.10+ syntax, structured concurrency via TaskGroups, and rigorous type checking with Pyright. Whether you are debugging complex async race conditions, implementing secure FastAPI endpoints, or optimizing memory usage with slots and generators, this skill ensures your code follows SOLID principles and industry-leading security standards like Argon2 password hashing and AES-256-GCM encryption.

Key Features

Strict type system enforcement using Pyright and modern PEP 604 syntax
Security-first development including SQL parameterization and modern cryptography
Advanced asyncio implementation using TaskGroups and structured concurrency
0 GitHub stars
Elite testing patterns with pytest, including comprehensive mocking and async fixtures
Performance optimization through memory-efficient data structures and caching

Use Cases

Refactoring backend services to utilize high-performance async/await patterns
Architecting secure and scalable APIs with FastAPI, Django, or SQLAlchemy
Eliminating complex type errors in large-scale Python projects using structural typing

About

Key Features

Strict type system enforcement using Pyright and modern PEP 604 syntax
Security-first development including SQL parameterization and modern cryptography
Advanced asyncio implementation using TaskGroups and structured concurrency
0 GitHub stars
Elite testing patterns with pytest, including comprehensive mocking and async fixtures
Performance optimization through memory-efficient data structures and caching

Use Cases

Refactoring backend services to utilize high-performance async/await patterns
Architecting secure and scalable APIs with FastAPI, Django, or SQLAlchemy
Eliminating complex type errors in large-scale Python projects using structural typing