make_notebook

Generate self-contained Jupyter Notebooks with Markdown and runnable code cells.

1|Updated Dec 17, 2025
One-click install
npx skills add https://github.com/tatsuki-washimi/gwexpy --skill make-notebook
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: make_notebook
Source: https://github.com/tatsuki-washimi/gwexpy/tree/main/.agent/skills/make_notebook
Command: npx skills add https://github.com/tatsuki-washimi/gwexpy --skill make-notebook

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the creation of self-contained Jupyter Notebooks that demonstrate a feature or explain a concept, reducing setup time and ensuring consistent demonstrations.

Core Features & Use Cases

  • Generate a runnable notebook with Markdown explanations and extensively commented code cells.
  • On-the-fly data generation or loading of small sample datasets for quick demonstrations.
  • Suitable for tutorials, feature demos, and educational materials that need repeatable notebooks.

Quick Start

Create a runnable notebook that showcases a chosen concept with clear explanations and well-documented code.

Frequently Asked Questions about make_notebook

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I auto-create a Jupyter notebook for a tutorial?

To auto-create a Jupyter notebook for a tutorial, this skill generates a self-contained file featuring Markdown explanations, extensively commented code cells, and on-the-fly sample data for repeatable demonstrations.

How do I generate a runnable Jupyter notebook for a feature demo?

To generate a runnable Jupyter notebook for a feature demo, this skill produces a self-contained document with Markdown body sections and code cells that automatically load small sample datasets or generate data on the fly.

Can I use nbformat to generate educational notebooks with sample data?

Yes, you can use this skill to leverage nbformat for generating educational notebooks, creating self-contained documents that automatically load small sample datasets or generate data on the fly for technical demonstrations.

What is the best way to automate Jupyter notebook creation for technical documentation?

The best way to automate Jupyter notebook creation for technical documentation is using this skill to reduce setup time and ensure consistent demonstrations by generating runnable notebooks with clear Markdown explanations and commented code.

Do I need to prepare datasets before generating a demonstration notebook?

No, you do not need to prepare datasets beforehand because this skill generates self-contained notebooks capable of on-the-fly data generation or loading small sample datasets for quick educational demonstrations.