Alterlab Shap

AlterLab Creative Technologies Laboratory

Model interpretability and explainability with SHAP (SHapley Additive exPlanations) — feature importance and plots (waterfall, beeswarm, bar, scatter, force, heatmap). Use when explaining ML model predictions, computing feature importance, debugging models, analyzing bias or fairness, comparing models, or implementing explainable AI across tree-based models (XGBoost, LightGBM, Random Forest)…

Install

npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-shap

npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-shap -a claude-code -g

npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-shap -a codex -g

gemini skills install https://github.com/AlterLab-IEU/AlterLab-Academic-Skills.git --path skills/data-science/alterlab-shap

gh skill install AlterLab-IEU/AlterLab-Academic-Skills alterlab-shap

git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills /tmp/AlterLab-IEU__AlterLab-Academic-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/data-science/alterlab-shap ~/.claude/skills/alterlab-shap   # Claude Code
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/data-science/alterlab-shap ~/.agents/skills/alterlab-shap   # Codex, Cursor, Gemini CLI, Copilot, OpenCode

Install

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