python▌

Simple, pragmatic, opinionated. Only what matters for writing production-grade python code.

Expert guidance for building high-performance FastAPI APIs with async best practices and clean Python patterns. \n \n Covers FastAPI fundamentals, Pydantic v2 validation, async/await patterns, and dependency injection for scalable backend development \n Emphasizes functional programming, early returns, guard clauses, and RORO (Receive an Object, Return an Object) pattern for maintainable code \n Includes error handling strategies, middleware design, caching optimization, and performance tuning f

Senior Python developer expertise for writing clean, efficient, and well-documented code. \n \n Covers correctness, type safety, performance, and style across eight detailed rule categories with examples \n Enforces type hints, dataclasses, proper error handling, and PEP 8 compliance as core practices \n Includes a code review checklist spanning logic, types, edge cases, security, and testing \n Provides a structured development process prioritizing design, type safety, and correctness before op

You are an expert in Flask and Python web development. Follow these guidelines when writing Flask code.

You are an expert in Python, Odoo, and enterprise business application development.

Operate Google Colab environments via the colab CLI for efficient session management.

Python 3.12+ development with FastAPI, Django, async patterns, and production tooling. \n \n Covers modern project structure, type hints with generics, and async/await patterns for I/O-bound operations \n Includes FastAPI patterns for building APIs with dependency injection, Pydantic models, and async request handlers \n Demonstrates testing strategies using pytest, async test fixtures, and mocking for async functions \n Recommends ruff for linting, mypy in strict mode, and pathlib for file oper

This skill provides comprehensive architecture review capabilities for Python backend applications, covering all aspects of system design from infrastructure to code organization.

Modern Python tooling, naming conventions, type checking, and documentation standards for maintainable codebases. \n \n Configure ruff for unified linting and formatting, replacing flake8, isort, and black with a single fast tool \n Set up strict type checking with mypy or pyright to catch errors before runtime \n Follow PEP 8 naming conventions: snake_case for functions/variables, PascalCase for classes, SCREAMING_SNAKE_CASE for constants \n Write Google-style docstrings for all public APIs wit

Fundamental design principles for writing maintainable, testable Python code. \n \n Covers five core patterns: KISS (Keep It Simple), Single Responsibility Principle, Separation of Concerns, Composition Over Inheritance, and the Rule of Three \n Includes practical code examples contrasting anti-patterns with recommended approaches for each principle \n Provides layered architecture guidance (API, Service, Repository layers) with dependency injection patterns for testability \n Emphasizes explici