jupyter-notebook Skill
Use 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 newnotebook.py to generate a clean starting notebook. Published by openai in skills.
What is jupyter-notebook Skill?
Use 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 newnotebook.py to generate a clean starting notebook. Published by openai in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use jupyter-notebook Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/skills
- Skill file: skills/.curated/jupyter-notebook/SKILL.md
What it does
Use 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 newnotebook.py to generate a clean starting notebook.
Skill instructions
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. - If editing an existing notebook, treat it as a refactor: preserve intent and improve structure. Skill path (set once) bash export CODEXHOME="${CODEXHOME:-$HOME/.codex}" export JUPYTERNOTEBOOKCLI="$CODEXHOME/skills/jupyter-notebook/scripts/newnotebook.py" User-scope
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Frequently asked questions
What is jupyter-notebook?
jupyter-notebook is a open-source AI agent skill with Copy skill directory. Use 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 newnotebook.py to.
Who is jupyter-notebook best for?
jupyter-notebook is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install jupyter-notebook?
Install or run jupyter-notebook using Copy skill directory. Check jupyter-notebook for the latest setup command.
Is jupyter-notebook actively maintained?
jupyter-notebook may need a closer maintenance check before production use.
Auto-fetched from GitHub.
