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Official agent skill

Jupyter Notebook

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

Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script…

OfficialMITAuto-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/translations/pcm/.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
Token cost
~1.2k tokens
SKILL.md length
481 words
Files
7 (incl. references, assets)
Skills in repo
123
Repo updated
First seen
Licence
MIT

At a glance

Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script…

  • Tasks that involve Jupyter notebooks
  • SKILL.md covers When to use, Decision tree, Skill path (set once) and Workflow, plus 5 more sections
  • Calls uv

What it does

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

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files and assets (for example `references/experiment-patterns.md`, `references/notebook-structure.md` and `references/quality-checklist.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 MIT.

When your agent uses it

  • Tasks that involve Jupyter notebooks

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

    Shell commands in SKILL.md call:

    • uv

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

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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 1.2k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 481 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.4k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/ai-agents-for-beginners at commit 25b7985, republished under its MIT licence (© microsoft). 481 words, ~1,187 tokens.

Download SKILL.mdSave it as .claude/skills/jupyter-notebook/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
jupyter-notebook
description
Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script `new_notebook.py` make e generate a clean starting notebook.

Jupyter Notebook Skill

Make clean, reproducible Jupyter notebooks for two main modes:

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

Dey prefer di bundled templates and di helper script for consistent structure and to reduce JSON mistakes.

When to use

  • Make new .ipynb notebook from scratch.
  • Turn rough notes or scripts into one structured notebook.
  • Refactor an existing notebook make am more reproducible and easy to skim.
  • Build experiments or tutorials wey other people go read or run again.

Decision tree

  • If di request na exploratory, analytical, or hypothesis-driven, choose experiment.
  • If di request na instructional, step-by-step, or audience-specific, choose tutorial.
  • If you dey edit existing notebook, treat am as 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 dey install under $CODEX_HOME/skills (default: ~/.codex/skills).

Workflow

  1. Lock the intent. Identify di notebook kind: experiment or tutorial. Capture di objective, audience, and wetin "done" suppose look like.

  2. Scaffold from the template. Use di helper script so you no go hand-author 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. Make each code cell focus on one step. Add short markdown cells wey explain di purpose and wetin dem suppose expect. Avoid big, noisy outputs if small summary fit do.

  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 di notebook structure; no dey reorder cells unless e go improve di top-to-bottom story. Prefer targeted edits rather than full rewrites. If you must edit raw JSON, check references/notebook-structure.md first.

  4. Validate the result. Run the notebook top-to-bottom when environment allow. If execution no possible, talk am clear and explain how to validate locally. Use di final pass checklist in references/quality-checklist.md.

Show full SKILL.md (201 more words)Show less

Templates and helper script

  • Templates dey for assets/experiment-template.ipynb and assets/tutorial-template.ipynb.
  • Di helper script go load a template, update di title cell, and write di 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 you dey work for 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

Di bundled scaffold script dey use only di Python standard library and no need 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.
<!-- CO-OP TRANSLATOR DISCLAIMER START -->

Disclaimer: Dis dokument don translate wit AI translation service Co-op Translator (https://github.com/Azure/co-op-translator). Even though we dey try make am correct, abeg sabi say automatic translations fit get errors or mistakes. The original dokument for im own language na the correct/official source. For important information, na professional human translator we dey recommend. We no dey responsible for any wrong understanding or misinterpretation wey fit come from using this translation.

<!-- CO-OP TRANSLATOR DISCLAIMER END -->

© microsoft, MIT. 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 6 other files (references, assets) in translations/pcm/.agents/skills/jupyter-notebook of microsoft/ai-agents-for-beginners.

  • SKILL.md
  • assets/experiment-template.ipynb
  • assets/tutorial-template.ipynb
  • references/experiment-patterns.md
  • references/notebook-structure.md
  • references/quality-checklist.md
  • references/tutorial-patterns.md

Open the folder on GitHubat commit 25b7985

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
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Jupyter Notebook this skillmicrosoft/ai-agents-for-beginners77k—~1.2kAutomated safety check: PassMIT
Notebook For ExperimentJetBrains/intellij-community21k—~4.4kAutomated safety check: WarnCustom licence
Jupyter To Marimoericmjl/llamabot1832 repos~475Automated safety check: PassNone
Nbreviewawdeorio/dotfiles102—~2.2kAutomated safety check: PassNone
Save Research Notebooknapjon/krisk117—~702Automated safety check: PassBSD-3-Clause
Doc Releasemindspore-ai/docs167—~4.8kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Jupyter Notebook

What does Jupyter Notebook do?

Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py make e generate a clean starting notebook.

When should I use Jupyter Notebook?

Jupyter Notebook fits situations like: tasks that involve Jupyter notebooks.

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 (translations/pcm/.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 (translations/pcm/.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 the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Jupyter Notebook access the network?

SKILL.md names 1 domain. As links in the text: github.com. 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. Review the folder before installing.

What licence does Jupyter Notebook use?

Jupyter Notebook is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jupyter Notebook use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 1.3k 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: Notebook For Experiment (JetBrains/intellij-community, 21k stars), Jupyter To Marimo (ericmjl/llamabot, 183 stars), Nbreview (awdeorio/dotfiles, 102 stars) and Save Research Notebook (napjon/krisk, 117 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 76,686 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.