Generate Jupyter notebooks from templates using new_notebook.py.
npx skills add https://github.com/UntLab/codex --skill jupyter-notebook-untlab
Please help me install this Agent Skill. Skill: jupyter-notebook Source: https://github.com/UntLab/codex/tree/main/config/codex-skills/jupyter-notebook Command: npx skills add https://github.com/UntLab/codex --skill jupyter-notebook-untlab
Jupyter notebooks are central to experiments, data exploration, and teaching; this skill provides a structured, template-driven workflow to scaffold clean, reproducible notebooks and avoid manual JSON editing.
Run the scaffold script to generate a notebook from the chosen template, then review and run cells locally.
High-intent search queries and answers about installing and using this skill.
You can create reproducible Jupyter notebooks by running a scaffold script that generates clean notebooks from bundled templates, automatically updating titles and metadata while avoiding manual JSON editing entirely.
The best way to scaffold notebooks for experiments is using a template-driven workflow that generates structured Jupyter notebooks with consistent metadata, outputting artifacts directly to a designated directory for reproducibility.
Yes, you can use templates to generate teaching materials and tutorials in Jupyter by running the scaffold script against your chosen template, which produces a ready-to-run notebook for educational use.
No dependencies are required to scaffold notebooks from templates; the skill uses bundled assets and a helper script to generate Jupyter notebooks locally without external package installations.
The notebook generation process handles title and metadata updates automatically during scaffolding, ensuring every generated Jupyter notebook maintains consistent metadata without manual intervention.
Generated Jupyter notebooks are saved to the output/jupyter-notebook directory after running the scaffold script, providing a centralized location for all newly created reproducible notebooks.
i9wa4Execute Jupyter notebooks on local Python kernels and Databricks clusters.
pmcdowallExecute Python code with persistent state across Jupyter notebook sessions.
interflownexStandardize Jupyter notebook execution and BigQuery integration workflows.
fabioc-alohaScaffold technical documentation projects with templates for API endpoints and guides.
