jupyter-notebook

Installation
Summary

Create and scaffold Jupyter notebooks for experiments and tutorials with bundled templates.

  • Two notebook kinds: experiment for exploratory analysis and hypothesis-driven work, tutorial for instructional step-by-step content
  • Helper script new_notebook.py generates clean notebooks from templates, avoiding manual JSON authoring
  • Workflow emphasizes small, focused code cells paired with markdown explanations, with reference guides for experiment patterns, tutorial structure, and safe editing of existing notebooks
  • Output conventions use output/jupyter-notebook/ for final artifacts and tmp/jupyter-notebook/ for intermediates
SKILL.md

Jupyter Notebook Skill

Create clean, reproducible Jupyter notebooks for two primary modes:

  • Experiments and exploratory analysis
  • Tutorials and teaching-oriented walkthroughs

Prefer the bundled templates and the helper script for consistent structure and fewer JSON mistakes.

When to use

  • Create a new .ipynb notebook from scratch.
  • Convert rough notes or scripts into a structured notebook.
  • Refactor an existing notebook to be more reproducible and skimmable.
  • Build experiments or tutorials that will be read or re-run by other people.

Decision tree

  • If the request is exploratory, analytical, or hypothesis-driven, choose experiment.
  • If the request is instructional, step-by-step, or audience-specific, choose tutorial.
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Feb 1, 2026