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7 rules available in the Claude directory
Master data analysis in Jupyter notebooks with rewritten Python rules emphasizing pandas efficiency, matplotlib/seaborn visualizations, reproducibility, and performance optimization for professional workflows.
Comprehensive system prompt for end-to-end data analysis workflows including exploration, cleaning, modeling, and reporting using Python and SQL in Claude Code CLI.
Specialized prompt for building efficient data pipelines, analysis, and ML workflows in Python.
Rules for efficient, scalable data processing pipelines using Pandas, Polars, Dask, and vectorized operations.
Designs efficient, production-grade ETL pipelines in pandas for data engineering tasks, handling large datasets with Claude's context awareness.
Production-ready rules for scalable data pipelines using Pandas, Dask, and Airflow, optimized for Claude's reasoning on large datasets.
Advanced data engineering and analysis with Pandas, Polars, Dask, and visualization tools, using Claude's reasoning for complex transformations.