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Skillzwave

shap

33.0

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model

Commands Marketplace

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install davila7/claude-code-templates/shap
skilz install davila7/claude-code-templates/shap --agent opencode
skilz install davila7/claude-code-templates/shap --agent codex
skilz install davila7/claude-code-templates/shap --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/davila7/claude-code-templates
2. Copy the agent skill directory:
cp -r claude-code-templates/cli-tool/components/skills/scientific/shap ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Type
Non-Technical
Meta-Domain
general
Primary Domain
general
Sub-Domain
learning model skill
Market Score
33.0

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