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Found 23 Skills
Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.
Converts JSON data snippets into Python Pydantic data models.
Expert-level Python development with Python 3.12+ features, async/await, type hints, and modern best practices
Эксперт Python разработки. Используй для Python best practices, async, typing и ecosystem.
Modern Python 3.12+ patterns your AI agent should use. Type hints, async/await, Pydantic v2, uv, match statements, and project structure.
Guiding principles for writing clear, concise, human readable and maintainable Python code.
Core Python development concepts, idioms, best practices, and language features. Covers Python 3.10+ features, type hints, async/await, and Pythonic patterns. For running scripts, see uv-run. For project setup, see uv-project-management. Use when user mentions Python, type hints, async Python, decorators, context managers, or writing Pythonic code.
Use when defining or evolving public interfaces, schema boundaries, or pydantic usage in Python. Also use when annotations are missing on public APIs, pydantic models appear everywhere instead of at trust boundaries, contract changes lack migration guidance, or Any/object types are overused across module boundaries.
Generates production-ready Python code following PEP standards, type hints, and clean code principles. Use when user requests Python implementation of classes, functions, services, or modules. Triggers on "implement", "write", "Python code", "create class", "create function", "code for".
Enforce Python code style: use uv, type hints, docstrings, and avoid print statements in production code.
Python development best practices including PEP 8 style guidelines, type hints, docstring conventions, and common patterns. Use when writing or modifying Python code.