Skills Directory

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, opti

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing imple

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing valida

Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic cl

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Pyth

Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics

Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, m

Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, j

Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry

Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing

Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and ge