{
  "id": "lib-skill:data-science-ml--shap-explainer",
  "_kind": "LibrarySkill",
  "_file": "generated-library/skills.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "shap-explainer",
    "description": "SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.",
    "libraryPath": "library/specializations/data-science-ml/skills/shap-explainer/SKILL.md",
    "specialization": "data-science-ml",
    "contentSummary": "# shap-explainer\n\n## Overview\n\nSHAP-based model explainability skill for feature attribution, summary plots, interaction analysis, and model interpretation.\n\n## Capabilities\n\n- TreeExplainer for tree-based models (XGBoost, LightGBM, Random Forest)\n- DeepExplainer for neural networks\n- Kern"
  },
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      "attributes": {
        "weight": 1
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    {
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      "attributes": {
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}