jupyter

What problem does it solve?

This Skill helps data scientists and researchers quickly reason about, edit, and run code inside Jupyter notebooks, reducing context-switching and manual edits.

Core Features & Use Cases

• Read notebook contents (code and markdown) with outputs to understand the full context
• Edit cells precisely (replace/insert/delete) to fix issues or add features
• Execute Python code in the active kernel to test ideas
• Debug and explain notebook sections, add documentation
• Generate inline explanations and comments for readability

Quick Start

Open a notebook file (e.g., my_analysis.ipynb) and run a small code cell to print summary statistics, using the notebook's kernel to validate changes.