How does this skill prevent JSON corruption in notebooks?

The skill uses a dedicated Python helper script to scaffold notebooks from templates instead of manually editing raw JSON strings, which minimizes syntax errors.

Can this skill run the notebooks it creates?

Claude will attempt to run the notebook top-to-bottom if the environment allows; otherwise, it provides explicit validation instructions for local execution.

Does this skill handle Python dependencies?

Yes, it prefers using the 'uv' package manager to install necessary dependencies like jupyterlab and ipykernel only when required.

What is the difference between experiment and tutorial modes?

Experiment mode focuses on hypothesis-driven analytical workflows, while tutorial mode prioritizes instructional, step-by-step walkthroughs for an audience.

Can I use this for existing notebooks?

Yes, the skill is designed to safely edit and refactor existing .ipynb files while preserving the original intent and narrative structure.

OpenAI Jupyter Notebook Manager

Name: OpenAI Jupyter Notebook Manager
Author: trailofbits

bytrailofbits

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253

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Data Science & ML

Automates the creation and management of clean, reproducible Jupyter notebooks for data experiments and educational tutorials.

This skill enables Claude to scaffold and refine Jupyter notebooks using standardized templates and a dedicated CLI tool, ensuring consistent JSON formatting and reproducibility. It simplifies the transition from raw code to structured .ipynb files by providing specialized paths for experiments and tutorials. By following domain-specific patterns and quality checklists, the skill helps developers and data scientists produce professional-grade notebooks that are easy to read, maintain, and re-run by others.

Key Features

01Integration with uv for efficient Python dependency management

02Safe refactoring and editing of existing .ipynb files

03Template-based scaffolding to prevent common JSON syntax errors

04Comprehensive validation checklists for notebook reproducibility

05253 GitHub stars

06Dual-mode optimization for scientific experiments or instructional tutorials

Use Cases

01Converting exploratory Python scripts into well-documented research notebooks

02Building step-by-step educational tutorials for AI and machine learning libraries

03Refactoring messy notebooks into structured, skimmable documents for team collaboration

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add trailofbits/skills-curated openai-jupyter-notebook

For use in Claude.ai and ChatGPT

Download Skill