Official agent skill

Jupyter Notebook

by microsoft in microsoft/ai-agents-for-beginners

A skill your agent uses when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script…

OfficialApache-2.0Auto-check passedData & Analytics

Install Jupyter Notebook

skills CLI
$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/jupyter-notebook .claude/skills/jupyter-notebook && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
jupyter-notebook
GitHub stars
77k
Used in
8 other repos
Token cost
~1k tokens
SKILL.md length
402 words
Files
12 (incl. scripts, references, assets)
Skills in repo
123
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script…

  • The user asks to create
  • SKILL.md covers When to use, Decision tree, Skill path (set once) and Workflow, plus 5 more sections
  • Runs Python scripts from its folder; calls uv
  • Edit Jupyter notebooks (.ipynb) for experiments

What it does

Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization. Use when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script newnotebook.py to generate a clean starting notebook.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `references/experiment-patterns.md` and `references/notebook-structure.md`).

It sits in Data & Analytics, covering Jupyter notebooks. It works with Jupyter. The repository describes itself as: 18 Lessons to Get Started Building AI Agents. The licence is Apache-2.0.

When your agent uses it

  • The user asks to create
  • Edit Jupyter notebooks (.ipynb) for experiments
  • Prefer the bundled templates and run the helper script newnotebook.py to generate a clean starting notebook

Example prompts

  • “/jupyter-notebook”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 25b7985. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Jupyter Notebook loads about 1k tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 402 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from microsoft/ai-agents-for-beginners at commit 25b7985, republished under its Apache-2.0 licence (© microsoft). 402 words, ~1,039 tokens.

Download SKILL.mdSave it as .claude/skills/jupyter-notebook/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
jupyter-notebook
description
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.

Jupyter Notebook Skill

Create clean, reproducible Jupyter notebooks for two primary modes:

  • Experiments and exploratory analysis
  • Tutorials and teaching-oriented walkthroughs

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

  • If the request is exploratory, analytical, or hypothesis-driven, choose experiment.
  • If the request is instructional, step-by-step, or audience-specific, choose tutorial.
  • If editing an existing notebook, treat it as a refactor: preserve intent and improve structure.

Skill path (set once)

bash
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export JUPYTER_NOTEBOOK_CLI="$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py"

User-scoped skills install under $CODEX_HOME/skills (default: ~/.codex/skills).

Workflow

  1. Lock the intent. Identify the notebook kind: experiment or tutorial. Capture the objective, audience, and what "done" looks like.

  2. Scaffold from the template. Use the helper script to avoid hand-authoring raw notebook JSON.

bash
uv run --python 3.12 python "$JUPYTER_NOTEBOOK_CLI" \
  --kind experiment \
  --title "Compare prompt variants" \
  --out output/jupyter-notebook/compare-prompt-variants.ipynb
bash
uv run --python 3.12 python "$JUPYTER_NOTEBOOK_CLI" \
  --kind tutorial \
  --title "Intro to embeddings" \
  --out output/jupyter-notebook/intro-to-embeddings.ipynb
  1. Fill the notebook with small, runnable steps. Keep each code cell focused on one step. Add short markdown cells that explain the purpose and expected result. Avoid large, noisy outputs when a short summary works.

  2. Apply the right pattern. For experiments, follow references/experiment-patterns.md. For tutorials, follow references/tutorial-patterns.md.

  3. Edit safely when working with existing notebooks. Preserve the notebook structure; avoid reordering cells unless it improves the top-to-bottom story. Prefer targeted edits over full rewrites. If you must edit raw JSON, review references/notebook-structure.md first.

  4. Validate the result. Run the notebook top-to-bottom when the environment allows. If execution is not possible, say so explicitly and call out how to validate locally. Use the final pass checklist in references/quality-checklist.md.

Show full SKILL.md (122 more words)Show less

Templates and helper script

  • Templates live in assets/experiment-template.ipynb and assets/tutorial-template.ipynb.
  • The helper script loads a template, updates the title cell, and writes a notebook.

Script path:

  • $JUPYTER_NOTEBOOK_CLI (installed default: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

Temp and output conventions

  • Use tmp/jupyter-notebook/ for intermediate files; delete when done.
  • Write final artifacts under output/jupyter-notebook/ when working in this repo.
  • Use stable, descriptive filenames (for example, ablation-temperature.ipynb).

Dependencies (install only when needed)

Prefer uv for dependency management.

Optional Python packages for local notebook execution:

bash
uv pip install jupyterlab ipykernel

The bundled scaffold script uses only the Python standard library and does not require extra dependencies.

Environment

No required environment variables.

Reference map

  • references/experiment-patterns.md: experiment structure and heuristics.
  • references/tutorial-patterns.md: tutorial structure and teaching flow.
  • references/notebook-structure.md: notebook JSON shape and safe editing rules.
  • references/quality-checklist.md: final validation checklist.

© microsoft, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files (scripts, references, assets) in .agents/skills/jupyter-notebook of microsoft/ai-agents-for-beginners.

  • SKILL.md
  • LICENSE.txt
  • agents/openai.yaml
  • assets/experiment-template.ipynb
  • assets/jupyter-small.svg
  • assets/jupyter.png
  • assets/tutorial-template.ipynb
  • references/experiment-patterns.md
  • references/notebook-structure.md
  • references/quality-checklist.md
  • references/tutorial-patterns.md
  • scripts/new_notebook.py

Open the folder on GitHubat commit 25b7985

Used in 8 other repositories

We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 8 other GitHub owners. This page covers the copy in microsoft/ai-agents-for-beginners, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Jupyter Notebook next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Jupyter Notebook compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jupyter Notebook this skillmicrosoft/ai-agents-for-beginners77k8 repos~1kAutomated safety check: PassApache-2.0
Jupyter To Marimoericmjl/llamabot1822 repos~475Automated safety check: PassNone
Nbreviewawdeorio/dotfiles102—~2.2kAutomated safety check: PassNone
Save Research Notebooknapjon/krisk118—~702Automated safety check: PassBSD-3-Clause
Doc Releasemindspore-ai/docs167—~4.8kAutomated safety check: PassApache-2.0
Openai Jupyter Notebooktrailofbits/skills-curated512—~1kAutomated safety check: NotesCC-BY-SA-4.0

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Works with

Questions about Jupyter Notebook

What does Jupyter Notebook do?

A skill your agent uses when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py to generate a clean starting notebook.

When should I use Jupyter Notebook?

Jupyter Notebook fits situations like: the user asks to create; edit Jupyter notebooks (.ipynb) for experiments; prefer the bundled templates and run the helper script newnotebook.py to generate a clean starting notebook.

How do I install Jupyter Notebook in Claude Code?

Run `npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a claude-code`. Or copy the skill folder (.agents/skills/jupyter-notebook in microsoft/ai-agents-for-beginners) into .claude/skills/jupyter-notebook in your project. Claude Code loads it when a task matches its description.

How do I install Jupyter Notebook in Codex?

Run `npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a codex`. Or copy the skill folder (.agents/skills/jupyter-notebook in microsoft/ai-agents-for-beginners) into .agents/skills/jupyter-notebook in your project. Codex loads it when a task matches its description.

Can I use Jupyter Notebook in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jupyter-notebook, .gemini/skills/jupyter-notebook, .github/skills/jupyter-notebook and .opencode/skills/jupyter-notebook in your project.

What does Jupyter Notebook need to run?

Going by SKILL.md and its folder, Jupyter Notebook needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Jupyter Notebook access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Jupyter Notebook safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Jupyter Notebook use?

Jupyter Notebook is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jupyter Notebook use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 677 tokens, read only when the agent opens those files.

What are the alternatives to Jupyter Notebook?

Skills that share tags, products or a category with Jupyter Notebook: Jupyter To Marimo (ericmjl/llamabot, 182 stars), Nbreview (awdeorio/dotfiles, 102 stars), Save Research Notebook (napjon/krisk, 118 stars) and Doc Release (mindspore-ai/docs, 167 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jupyter Notebook?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/ai-agents-for-beginners, which has 76,567 GitHub stars. The repository holds 123 skills in this directory. The repository was last updated on September 19, 2026.

Source: microsoft/ai-agents-for-beginners on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.