jupyter-notebooklisted

Create, scaffold, or refactor Jupyter notebooks (.ipynb) for experiments and tutorials. Prefer the bundled templates and the helper script (`new_notebook.py`, also exposed as `newnotebook`) to generate a clean starting notebook instead of authoring raw notebook JSON.
ulises-jeremias/agent-toolkit · ★ 16 · AI & Automation · score 76

Install: claude install-skill ulises-jeremias/agent-toolkit

# Jupyter Notebook Create clean, reproducible Jupyter notebooks for two primary modes: - **Experiments** — exploratory analysis, ablations, hypothesis testing. - **Tutorials** — instructional walkthroughs, teaching-oriented notebooks. Prefer the bundled templates and the helper script for consistent structure and fewer JSON mistakes. ## When to use - Create a new `.ipynb` notebook from scratch. - Convert rough notes or scripts into a structured notebook. - Refactor an existing notebook to be more reproducible and skimmable. - Build experiments or tutorials that will be read or re-run by other people. ## Decision tree - Exploratory / analytical / hypothesis-driven → `experiment`. - Instructional / step-by-step / audience-specific → `tutorial`. - Editing an existing notebook → treat as a refactor: preserve intent and improve structure. ## Prerequisites - `python3` (provided by `bootstrap`). - Optional: `uv` for local notebook execution and dependency isolation (also from `bootstrap`). `skills check jupyter-notebook` validates `python3` is present. ## Helper script The bundled scaffolder (`scripts/new_notebook.py`, stdlib only) loads a template, updates the title cell, and writes a notebook to `--out`. Two ways to invoke it: ### Option A — `newnotebook` wrapper (recommended) `bootstrap` installs a tiny wrapper at `~/.local/bin/newnotebook` so the script is available without remembering its full path: ```bash newnotebook --kind experiment \ --title "Compare p