jupyter-notebook

What it does

This skill allows AI agents to generate, structure, and modify Jupyter Notebook files (.ipynb). It can create new notebooks from pre-defined templates, facilitating rapid prototyping for data science experiments or educational tutorials. The included new_notebook.py helper script streamlines the notebook creation process by providing a standardized starting point.

When to use it

• A user requests a basic "Hello World" Jupyter Notebook to get started with Python programming.
• Someone needs a template for a data analysis project, including sections for data loading, cleaning, and visualization.
• An educator wants the agent to create a tutorial notebook demonstrating a specific machine learning algorithm.
• A user asks for an existing notebook to be modified, such as adding new code cells or updating documentation.

Key capabilities

• Creation of new Jupyter Notebooks from bundled templates.
• Execution of the new_notebook.py helper script for standardized notebook creation.
• Modification of existing .ipynb files.
• Support for structuring notebooks into logical sections (e.g., data loading, analysis).

Example prompts

• "Create a new Jupyter Notebook with a template for exploring a CSV dataset."
• "Generate a basic Python notebook to demonstrate the matplotlib library."
• "Can you add a markdown cell explaining the purpose of this code block to my existing notebook?"

Tips & gotchas

The skill relies on pre-defined templates. While flexible, its capabilities are limited by the available templates and the functionality within new_notebook.py.