shap

SKILL.md

Explain ML predictions using Shapley values - feature importance and attribution.

| SHAP | Theoretically grounded, all model types | | LIME | Quick local explanations | | Feature Importance | Simple tree-based importance |

Use when "SHAP", "Shapley values", "feature importance", "model explainability", or asking about "explain predictions", "interpretable ML", "feature attribution", "waterfall plot", "beeswarm plot", "model debugging" Source: eyadsibai/ltk.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/eyadsibai/ltk --skill shap Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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