Agent skill

jupyter-notebook

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 `new_notebook.py` to generate a clean starting notebook.

foryourhealth111-pixelgithub.com/foryourhealth111-pixelGitHub ↗
claude-codecodexships scriptsApache-2.0
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill jupyter-notebook --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 12
SKILL.md size: 4 KB
Bundled scripts: yes
Path: bundled/skills/jupyter-notebook/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,593
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 noteboo

More from Vibe-Skills
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About this skill
What does the jupyter-notebook skill do?

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 `new_notebook.py` to generate a clean starting notebook.

How do I install it?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill jupyter-notebook --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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