Installable stack packs for Claude Code — production-ready skills, hooks, and project configs for domain-specific development
giacomogaglione/claude-awesome-stack
Skill Claude CodeCodex
Profile and explore datasets -- schema inference, distributions, missing values, outliers, correlations. Use when starting work with a new dataset or investigating data quality issues.
giacomogaglione/claude-awesome-stack
Skill Claude CodeCodex
Debug ML issues systematically -- tensor shapes, NaN propagation, gradient flow, device mismatches, dtype errors. Use when encountering training failures, unexpected outputs, or numerical issues.
giacomogaglione/claude-awesome-stack
Skill Claude CodeCodex
Extract Jupyter notebook cells into tested Python modules while preserving the exploration workflow. Use when converting prototyping notebooks into production code.