Rules
6 rules available in the Claude directory
Julia Data Science Coding Rules: Best Practices for High-Performance Numerical Computing
Master Julia programming for data science with rewritten expert guidelines on multiple dispatch, structs, error handling, testing, and optimization to boost code efficiency and readability.
Python Data Science Specialist
Specialized prompt for building efficient data pipelines, analysis, and ML workflows in Python.
Reproducible ML Pipelines in Python
Comprehensive rules for building production-ready, reproducible machine learning pipelines using modern Python tools.
Pandas Data Pipeline Optimizer
Rules for efficient, scalable data processing pipelines using Pandas, Polars, Dask, and vectorized operations.
Python ML Pipeline Pro
Comprehensive guide for building reproducible ML pipelines with scikit-learn, PyTorch, and MLOps tools in Claude Code.
Pandas Data Mastery
Advanced data engineering and analysis with Pandas, Polars, Dask, and visualization tools, using Claude's reasoning for complex transformations.