Jupyter notebooks
Creates and edits Jupyter notebooks for experiments, explorations and tutorials, starting from bundled templates.
When to use it
- You want a clean notebook for an experiment or analysis.
- A tutorial should be runnable cell by cell.
- An existing notebook needs restructuring.
A practical example
You ask
“Set up a notebook to explore last month’s sales CSV.”
Your agent does
It creates a notebook from the template with loading, cleaning and a few starter charts.
What gets installed
The whole folder is copied, so scripts, references and any license notices stay together.
- agents/openai.yaml325 bytes
- assets/experiment-template.ipynb2,570 bytes
- assets/jupyter-small.svg1,043 bytes
- assets/jupyter.png2,713 bytes
- assets/tutorial-template.ipynb2,490 bytes
- LICENSE.txt10,776 bytes
- references/experiment-patterns.md699 bytes
- references/notebook-structure.md751 bytes
- references/quality-checklist.md572 bytes
- references/tutorial-patterns.md685 bytes
- scripts/new_notebook.py4,086 bytes
- SKILL.md4,240 bytes
Before you start: Uses Python with JupyterLab.
Credit and license
Adapted from OpenAI’s published skills. It’s shared under the Apache License 2.0, and the license file is installed with it however you choose to install.