jupyter-notebook-executor
SkillDev toolsJupyter notebook execution skill for running notebooks programmatically and extracting outputs.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the jupyter-notebook-executor skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/data-science-ml/skills/jupyter-notebook-executor/SKILL.md and read by ahel’s review.
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
}
}
}
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
jupyter-notebook-executor- Source
- github.com/a5c-ai/babysitter
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