notebook-writer

What problem does it solve?

This skill helps researchers and data scientists create well-structured, reproducible Jupyter notebooks that document calculations, workflows, and results in a git-friendly format.

Core Features & Use Cases

• Generate Jupytext-based Markdown notebooks with clear narrative and code cells.
• Provide templates and workflows for parameter sweeps, data analysis, and reproducible reporting.
• Enable end-to-end reproducibility by documenting environment and dependencies and offering easy conversion to IPYNB.

Quick Start

Create a Markdown notebook following the examples in the skill guide, then convert to IPYNB using python3 -m jupytext --to ipynb notebook.md and run it in Jupyter. This workflow keeps notebooks human-readable and version-controlled.