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

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

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.

python-executor

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. \n \n Covers CPU profiling with cProfile, line-by-line profiling with line_profiler, memory tracking with memory_profiler, and production profiling with py-spy \n Includes 20+ optimization patterns: list comprehensions, generators, string concatenation, dictionary lookups, NumPy vectorization, caching, multiprocessing, and async I/O \n Provides database optimization techniques including batch opera

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.