Jupyter notebook executor

Skill a5c-ai/babysitter/library/specializations/data-science-ml/skills/jupyter-notebook-executor

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

npx -y skills add a5c-ai/babysitter --skill jupyter-notebook-executor

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What its author says it does

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Jupyter notebook execution skill for running notebooks programmatically and extracting outputs.

SKILL.md

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jupyter-notebook-executor

Overview

Jupyter notebook execution skill for running notebooks programmatically, parameterizing inputs, and extracting outputs for ML workflows.

Capabilities

Parameterized notebook execution
Output extraction and validation
Notebook conversion (to HTML/PDF)
Cell execution control
Error handling and reporting
Environment management
Kernel specification
Timeout management

Target Processes

Exploratory Data Analysis (EDA) Pipeline
Model Interpretability and Explainability Analysis
Experiment Planning and Hypothesis Testing

Tools and Libraries

papermill
nbconvert
jupyter
nbformat

Input Schema

{
  "type": "object",
  "required": ["action", "notebookPath"],
  "properties": {
    "action": {
      "type": "string",
      "enum": ["execute", "convert", "extract", "validate"],
      "description": "Action to perform on the notebook"
    },
    "notebookPath": {
      "type": "string",
      "description": "Path to the Jupyter notebook"
    },
    "executeConfig": {
      "type": "object",
      "properties": {
        "parameters": { "type": "object" },
        "outputPath": { "type": "string" },
        "kernel": { "type": "string" },
        "timeout": { "type": "integer" },
        "cwd": { "type": "string" }
      }
    },
    "convertConfig": {
      "type": "object",
      "properties": {
        "format": { "type": "string", "enum": ["html", "pdf", "markdown", "script"] },
        "outputPath": { "type": "string" },
        "template": { "type": "string" },
        "excludeInput": { "type": "boolean" },
        "excludeOutput": { "type": "boolean" }
      }
    },
    "extractConfig": {
      "type": "object",
      "properties": {
        "cellTags": { "type": "array", "items": { "type": "string" } },
        "outputTypes": { "type": "array", "items": { "type": "string" } },
        "variableNames": { "type": "array", "items": { "type": "string" } }
      }
    }
  }
}

Output Schema

{
  "type": "object",
  "required": ["status", "action"],
  "properties": {
    "status": {
      "type": "string",
      "enum": ["success", "error", "timeout"]
    },
    "action": {
      "type": "string"
    },
    "executionResult": {
      "type": "object",
      "properties": {
        "outputPath": { "type": "string" },
        "executionTime": { "type": "number" },
        "cellsExecuted": { "type": "integer" },
        "errors": { "type": "array" }
      }
    },
    "conversionResult": {
      "type": "object",
      "properties": {
        "outputPath": { "type": "string" },
        "format": { "type": "string" }
      }
    },
    "extractedData": {
      "type": "object",
      "properties": {
        "variables": { "type": "object" },
        "outputs": { "type": "array" },
        "figures": { "type": "array", "items": { "type": "string" } }
      }
    }
  }
}

Usage Example

{
  kind: 'skill',
  title: 'Execute EDA notebook with parameters',
  skill: {
    name: 'jupyter-notebook-executor',
    context: {
      action: 'execute',
      notebookPath: 'notebooks/eda_template.ipynb',
      executeConfig: {
        parameters: {
          data_path: 'data/train.csv',
          output_dir: 'results/eda/',
          sample_size: 10000
        },
        outputPath: 'notebooks/eda_results.ipynb',
        kernel: 'python3',
        timeout: 3600
      }
    }
  }
}