jupyter-notebook
Create and scaffold Jupyter notebooks for experiments and tutorials with bundled templates.
- Two notebook kinds:
experimentfor exploratory analysis and hypothesis-driven work,tutorialfor instructional step-by-step content - Helper script
new_notebook.pygenerates 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 andtmp/jupyter-notebook/for intermediates
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
.ipynbnotebook 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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