Jupyter Notebooks AI Skill Guide

Overview & Engine Architecture

Jupyter runs code cells against a kernel (usually IPython) with persistent in-memory state. The .ipynb JSON stores inputs, outputs, and metadata. Agents keep notebooks linear and restartable, parameterize with papermill when automating, and extract durable logic into .py modules once paths stabilize.

Notebook UI / VS Code / JupyterLab
      -> kernel (Python/R/Julia)
          -> cells mutate namespace
          -> outputs embedded in .ipynb

When to use this skill

• Exploratory analysis and teaching demos
• Lightweight reports with plots/tables
• Parameterized batch runs via papermill/nbconvert