Notebooks skills for Claude Code and Codex
Skills for computational notebooks: creating and editing Jupyter notebooks, running Kaggle notebooks alongside competitions and datasets, and organizing research in an open notebook. They let an agent produce analysis people can rerun cell by cell.
Highest-scoring notebook skills in the October 22, 2026 snapshot: kaggle from shepsci/kaggle-skill (90/100). Scores come from the Suede Skill Check.
- 3 listed skills
- 3 repositories
- 1 with full pages
1 from official publishers. 3 bundle scripts. 1 connect to an outside service. Listed in Data, Analytics and Databases (1), Developer Tools and Frameworks (1), Productivity and Knowledge Work (1).
All 3 notebook skills
No matching skills. Try fewer words or clear your search.
| Skill | Repository | What it does |
|---|---|---|
| kaggle 90/100 · A | shepsci/kaggle-skill | Handles Kaggle tasks when explicitly requested, covering competitions, datasets, models, notebooks, forums, benchmarks, hackathons, badges, and account setup. |
| jupyter-notebook 76/100 · C | openai/skills | Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled… |
| open-notebook 87/100 · B | K-Dense-AI/claude-scientific-skills | Organizes research with the self-hosted Open Notebook alternative to NotebookLM. Supports source ingestion (PDFs, web pages, audio, video, and… |
How to choose notebook skills
Use jupyter-notebook to scaffold and edit .ipynb files in a repository; it keeps cells, outputs and metadata in the format Jupyter expects.
The Kaggle skill reads your Kaggle API credentials, listed under Before you install, and acts on your account only when you ask.
Clear outputs that contain data you would not publish before you commit a notebook, and pin package versions in the first cell so the notebook reruns later.
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