jupyter-notebook-assistant

Cleans and organizes Jupyter notebooks by removing empty cells and clearing outputs.

6|2|Updated Oct 31, 2025
One-click install
npx skills add https://github.com/Dexploarer/claudius-skills --skill jupyter-notebook-assistant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jupyter-notebook-assistant
Source: https://github.com/Dexploarer/claudius-skills/tree/main/examples/intermediate/data-science-skills/jupyter-assistant
Command: npx skills add https://github.com/Dexploarer/claudius-skills --skill jupyter-notebook-assistant

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Jupyter notebooks often become cluttered with unused cells and unclear structure; this Skill cleans, organizes, and documents notebooks for maintainability.

Core Features & Use Cases

  • Notebook analysis: Counts cells, identifies code vs markdown
  • Cleaning actions: Remove empty cells, clear outputs
  • Documentation: Generate structured sections and docs

Quick Start

Process notebook.ipynb and generate a cleaned version.

Frequently Asked Questions about jupyter-notebook-assistant

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

FAQPage Schema
How do I clean up cluttered Jupyter notebooks?

Cleaning Jupyter notebooks involves removing empty cells, clearing outputs, and reorganizing content for readability. This Skill automates those tasks—analyzing notebook structure, deleting unused cells, and generating section headers and table of contents to improve maintainability.

Can I automatically document my Jupyter notebook code?

Yes. This Skill generates structured documentation for notebooks by extracting reusable functions, inserting organized sections, and creating a table of contents. It transforms disorganized notebooks into documented, maintainable code.

What's the best way to organize a messy data science notebook?

Organize by analyzing notebook structure, removing empty and redundant cells, clearing unnecessary outputs, and inserting logical section headers. This Skill performs those steps automatically, then generates documentation and extracts reusable functions for clarity.

How do I refactor functions out of my Jupyter notebook?

This Skill extracts reusable functions from notebook cells and reorganizes them into a structured format. Combined with cleaning and documentation generation, it converts inline code into maintainable, modular functions.

Do I need to manually clear cell outputs before sharing notebooks?

No. This Skill automates output clearing as part of its cleaning process. It removes empty cells and clears outputs in batch, preparing notebooks for sharing or version control without manual intervention.