jupyter-notebook
OfficialUse when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` t
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What we know about this skill
Publisher
openai
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Install target
Live repository
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
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No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
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Pinned to a commit: passed
Scanned openai/skills at 49f948faa9.
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About this skill
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.pyhelper script for standardized notebook creation. - Modification of existing
.ipynbfiles. - 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.