{
  "id": "lib-skill:data-science-ml--jupyter-notebook-executor",
  "_kind": "LibrarySkill",
  "_file": "generated-library/skills.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "jupyter-notebook-executor",
    "description": "Jupyter notebook execution skill for running notebooks programmatically and extracting outputs.",
    "libraryPath": "library/specializations/data-science-ml/skills/jupyter-notebook-executor/SKILL.md",
    "specialization": "data-science-ml",
    "contentSummary": "# jupyter-notebook-executor\n\n## Overview\n\nJupyter notebook execution skill for running notebooks programmatically, parameterizing inputs, and extracting outputs for ML workflows.\n\n## Capabilities\n\n- Parameterized notebook execution\n- Output extraction and validation\n- Notebook conversion ("
  },
  "outgoingEdges": [
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      "to": "skill-area:data-science-experimentation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-skill:data-science-ml--jupyter-notebook-executor",
      "to": "skill-area:data-visualization",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
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      "to": "domain:data-science",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
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      "to": "role:data-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
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    },
    {
      "from": "lib-skill:data-science-ml--jupyter-notebook-executor",
      "to": "role:data-analyst",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
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    },
    {
      "from": "lib-skill:data-science-ml--jupyter-notebook-executor",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-skill:data-science-ml--jupyter-notebook-executor",
      "to": "specialization:data-science-ml",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
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    }
  ],
  "incomingEdges": []
}