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juanfranem

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

jwplatta

Generate Jupyter notebook practice challenges for Python. Use when the user wants practice problems, coding exercises, study notebooks, or drill questions for pandas or algorithms.

alfred1137

Expert guidelines for Python ML and LLM workflows. Covers code quality, experiment tracking, and data handling. Use when working on AI/ML components or data pipelines.

aresbit

Install Python command-line tools with a single command using uvx.sh (Astrals uv-based installer). Use when you need to install Python tools like ruff, black, mypy, or any PyPI package as a command-line tool. This skill provides simple curl commands for installing Python tools on macOS, Linux, and Windows.

aresbit

Install Python command-line tools with a single command using uvx.sh (Astrals uv-based installer). Use when you need to install Python tools like ruff, black, mypy, or any PyPI package as a command-line tool. This skill provides simple curl commands for installing Python tools on macOS, Linux, and Windows.

skysheng7

The api-rules skill provides a Python programming assistant for LLM evaluation tasks, utilizing OpenAI API and libraries like Pandas and NumPy. It benefits developers working with LLMs.

VIGNESHSIRIKONDA

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimi...

jorijn

Expert code review for Python focused on correctness, maintainability, error handling, performance, and testability. Use after writing or modifying Python code, or when reviewing refactors and new features.

armanisadeghi

Create production-grade Dockerfiles optimized for speed, security, and minimal size. Use when creating or reviewing Dockerfiles, docker-compose files, or when optimizing container images for Python, Node.js, or multi-runtime environments.

arkanwolfshade

Use MythosMUD logging: get_logger from server.logging.enhanced_logging_config, structured key=value args, no f-strings or context= parameter. Use when adding or editing Python logging, or when the user mentions logs or logging.

zby

Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment of Python code.

laceto

Synchronises all dependency files from the actual imports in the codebase. Use when asked to update requirements.txt, sync dependencies, update pyproject.toml dependencies, fix requirements, update deps, sync deps, update dependency files, or update renv/environment.yml. Scans all Python source files for third-party imports, resolves PyPI package names, fetches installed versions, then writes requirements.txt and updates pyproject.toml [project.dependencies] — keeping every dep file in sync with a single source of truth.