Official agent skill

Jupyter Notebook

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

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/de/.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/

Paste into Claude Code

Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/de/.agents/skills/jupyter-notebook into .claude/skills/jupyter-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jupyter-notebook", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/de/.agents/skills/jupyter-notebook

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/de/.agents/skills/jupyter-notebook into .agents/skills/jupyter-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jupyter-notebook", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/de/.agents/skills/jupyter-notebook into .cursor/skills/jupyter-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jupyter-notebook", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/microsoft/ai-agents-for-beginners.git --path translations/de/.agents/skills/jupyter-notebook

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/de/.agents/skills/jupyter-notebook into .gemini/skills/jupyter-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jupyter-notebook", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

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

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/de/.agents/skills/jupyter-notebook into .github/skills/jupyter-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jupyter-notebook", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/de/.agents/skills/jupyter-notebook into .opencode/skills/jupyter-notebook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jupyter-notebook", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: jupyter-notebook
GitHub stars: 77k
Token cost: ~1.4k tokens
SKILL.md length: 461 words
Files: 7 (incl. references, assets)
Skills in repo: 123
Repo updated: Sep 19, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Tasks that involve Jupyter notebooks
SKILL.md covers Wann verwenden, Entscheidungsbaum, Fähigkeitenpfad (einmal… and Arbeitsablauf, 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. Verwenden Sie, wenn der Benutzer darum bittet, Jupyter-Notebooks (.ipynb) für Experimente, Erkundungen oder Tutorials zu erstellen, aufzusetzen oder zu bearbeiten; bevorzugen Sie die mitgelieferten Vorlagen und führen Sie das Hilfsskript newnotebook.py aus, um ein sauberes Start-Notebook zu erzeugen.

Its SKILL.md is about 1.4k 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 1.4k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 461 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~81
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.9k

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). 461 words, ~1,355 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: Verwenden Sie, wenn der Benutzer darum bittet, Jupyter-Notebooks (`.ipynb`) für Experimente, Erkundungen oder Tutorials zu erstellen, aufzusetzen oder zu bearbeiten; bevorzugen Sie die mitgelieferten Vorlagen und führen Sie das Hilfsskript `new_notebook.py` aus, um ein sauberes Start-Notebook zu erzeugen.

Jupyter Notebook-Fähigkeit

Erstelle saubere, reproduzierbare Jupyter-Notebooks für zwei Hauptmodi:

Experimente und explorative Analyse
Tutorials und lehrorientierte Schritt-für-Schritt-Anleitungen

Bevorzuge die mitgelieferten Vorlagen und das Hilfsskript für eine konsistente Struktur und weniger JSON-Fehler.

Wann verwenden

Erstelle ein neues .ipynb-Notebook von Grund auf.
Konvertiere grobe Notizen oder Skripte in ein strukturiertes Notebook.
Überarbeite ein vorhandenes Notebook, um es reproduzierbarer und übersichtlicher zu machen.
Baue Experimente oder Tutorials, die von anderen gelesen oder erneut ausgeführt werden.

Entscheidungsbaum

Wenn die Anfrage explorativ, analytisch oder hypothesengetrieben ist, wähle experiment.
Wenn die Anfrage instruktiv, schrittweise oder zielgruppenspezifisch ist, wähle tutorial.
Wenn du ein bestehendes Notebook bearbeitest, behandle es als Refaktorierung: erhalte die Absicht und verbessere die Struktur.

Fähigkeitenpfad (einmal festlegen)

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).

Arbeitsablauf

Absicht festlegen. Identifiziere die Notebook-Art: experiment oder tutorial. Erfasse das Ziel, die Zielgruppe und wie "fertig" aussieht.
Gerüst aus der Vorlage erstellen. Verwende das Hilfsskript, um zu vermeiden, das rohe Notebook-JSON manuell zu erstellen.

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

Fülle das Notebook mit kleinen, ausführbaren Schritten. Halte jede Code-Zelle auf einen Schritt fokussiert. Füge kurze Markdown-Zellen hinzu, die Zweck und erwartetes Ergebnis erklären. Vermeide umfangreiche, unübersichtliche Ausgaben, wenn eine kurze Zusammenfassung ausreicht.
Wende das richtige Muster an. Für Experimente folge references/experiment-patterns.md. Für Tutorials folge references/tutorial-patterns.md.
Beim Bearbeiten bestehender Notebooks sicher vorgehen. Erhalte die Notebook-Struktur; vermeide das Umordnen von Zellen, es sei denn, es verbessert die von oben nach unten erzählte Reihenfolge. Bevorzuge gezielte Änderungen gegenüber kompletten Neuüberarbeitungen. Wenn du das rohe JSON bearbeiten musst, lies zuerst references/notebook-structure.md.
Ergebnis validieren. Führe das Notebook von oben nach unten aus, wenn die Umgebung es zulässt. Wenn die Ausführung nicht möglich ist, gib dies ausdrücklich an und beschreibe, wie lokal validiert werden kann. Verwende die Abschluss-Checkliste in references/quality-checklist.md.

Show full SKILL.md (183 more words)Show less

Vorlagen und Hilfsskript

Vorlagen befinden sich in assets/experiment-template.ipynb und assets/tutorial-template.ipynb.
Das Hilfsskript lädt eine Vorlage, aktualisiert die Titelzelle und schreibt ein Notebook.

Skriptpfad:

$JUPYTER_NOTEBOOK_CLI (standardmäßig installiert: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

Temp- und Ausgabe-Konventionen

Verwende tmp/jupyter-notebook/ für Zwischenfiles; lösche sie nach Abschluss.
Schreibe finale Artefakte unter output/jupyter-notebook/, wenn du in diesem Repo arbeitest.
Verwende stabile, beschreibende Dateinamen (zum Beispiel ablation-temperature.ipynb).

Abhängigkeiten (nur bei Bedarf installieren)

Bevorzuge uv für das Abhängigkeitsmanagement.

Optionale Python-Pakete für lokale Notebook-Ausführung:

bash

uv pip install jupyterlab ipykernel

Das mitgelieferte Scaffold-Skript verwendet nur die Python-Standardbibliothek und benötigt keine zusätzlichen Abhängigkeiten.

Umgebung

Keine erforderlichen Umgebungsvariablen.

Referenzübersicht

references/experiment-patterns.md: Aufbau von Experimenten und Heuristiken.
references/tutorial-patterns.md: Struktur von Tutorials und Lehrablauf.
references/notebook-structure.md: Form des Notebook-JSON und Regeln für sicheres Bearbeiten.
references/quality-checklist.md: Abschließende Validierungs-Checkliste.

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

Haftungsausschluss: Dieses Dokument wurde mit dem KI-Übersetzungsdienst Co-op Translator übersetzt. Obwohl wir um Genauigkeit bemüht sind, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner Originalsprache ist als maßgebliche Quelle zu betrachten. Für wichtige Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die sich aus der Verwendung dieser Übersetzung ergeben.

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

Files

SKILL.md and 6 other files (references, assets) in translations/de/.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
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Jupyter Notebook this skillmicrosoft/ai-agents-for-beginners	77k	—	~1.4k	Automated safety check: Pass	MIT	20 days ago
Notebook For ExperimentJetBrains/intellij-community	21k	—	~4.4k	Automated safety check: Warn	Custom licence	today
Jupyter To Marimoericmjl/llamabot	183	2 repos	~475	Automated safety check: Pass	None	yesterday
Nbreviewawdeorio/dotfiles	102	—	~2.2k	Automated safety check: Pass	None	2 days ago
Save Research Notebooknapjon/krisk	117	—	~702	Automated safety check: Pass	BSD-3-Clause	7 days ago
Doc Releasemindspore-ai/docs	167	—	~4.8k	Automated safety check: Pass	Apache-2.0	10 days ago

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Works with

Jupyter

Questions about Jupyter Notebook

What does Jupyter Notebook do?

Verwenden Sie, wenn der Benutzer darum bittet, Jupyter-Notebooks (.ipynb) für Experimente, Erkundungen oder Tutorials zu erstellen, aufzusetzen oder zu bearbeiten; bevorzugen Sie die mitgelieferten…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py aus, um ein sauberes Start-Notebook zu erzeugen.

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/de/.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/de/.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 1.4k tokens (SKILL.md is roughly 5.4k 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 1.6k 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.

Install Jupyter Notebook

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At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Jupyter Notebook-Fähigkeit

Wann verwenden

Entscheidungsbaum

Fähigkeitenpfad (einmal festlegen)

Arbeitsablauf

Vorlagen und Hilfsskript

Temp- und Ausgabe-Konventionen

Abhängigkeiten (nur bei Bedarf installieren)

Umgebung

Referenzübersicht

Files

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