Official agent skill

Jupyter Notebook

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

Usar cuando el usuario solicita crear, estructurar o editar cuadernos Jupyter (.ipynb) para experimentos, exploraciones o tutoriales; preferir las plantillas incluidas y ejecutar el script auxiliar…

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/es/.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
~1.3k tokens
SKILL.md length
569 words
Files
7 (incl. references, assets)
Skills in repo
123
Repo updated
First seen
Licence
MIT

At a glance

Usar cuando el usuario solicita crear, estructurar o editar cuadernos Jupyter (.ipynb) para experimentos, exploraciones o tutoriales; preferir las plantillas incluidas y ejecutar el script auxiliar…

  • Tasks that involve Jupyter notebooks
  • SKILL.md covers Cuándo usar, Árbol de decisiones, Ruta de la habilidad… and Flujo de trabajo, 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. Usar cuando el usuario solicita crear, estructurar o editar cuadernos Jupyter (.ipynb) para experimentos, exploraciones o tutoriales; preferir las plantillas incluidas y ejecutar el script auxiliar newnotebook.py para generar un cuaderno inicial limpio.

Its SKILL.md is about 1.3k 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 1.3k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 569 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

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). 569 words, ~1,342 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
Usar cuando el usuario solicita crear, estructurar o editar cuadernos Jupyter (`.ipynb`) para experimentos, exploraciones o tutoriales; preferir las plantillas incluidas y ejecutar el script auxiliar `new_notebook.py` para generar un cuaderno inicial limpio.

Habilidad de Jupyter Notebook

Crea notebooks de Jupyter limpios y reproducibles para dos modos principales:

  • Experimentos y análisis exploratorio
  • Tutoriales y guías orientadas a la enseñanza

Prefiere las plantillas incluidas y el script auxiliar para una estructura coherente y menos errores en JSON.

Cuándo usar

  • Crea un nuevo .ipynb notebook desde cero.
  • Convierte notas o scripts informales en un notebook estructurado.
  • Refactoriza un notebook existente para que sea más reproducible y fácil de revisar.
  • Crea experimentos o tutoriales que serán leídos o ejecutados nuevamente por otras personas.

Árbol de decisiones

  • Si la solicitud es exploratoria, analítica o basada en hipótesis, elige experiment.
  • Si la solicitud es instruccional, paso a paso o dirigida a una audiencia específica, elige tutorial.
  • Si estás editando un notebook existente, trátalo como una refactorización: conserva la intención y mejora la estructura.

Ruta de la habilidad (configurar una vez)

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

Las habilidades a nivel de usuario se instalan en $CODEX_HOME/skills (por defecto: ~/.codex/skills).

Flujo de trabajo

  1. Fija la intención. Identifica el tipo de notebook: experiment o tutorial. Registra el objetivo, la audiencia y qué significa "hecho".

  2. Estructura a partir de la plantilla. Usa el script auxiliar para evitar redactar manualmente el JSON bruto del notebook.

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. Rellena el notebook con pasos pequeños y ejecutables. Mantén cada celda de código enfocada en un solo paso. Añade celdas markdown cortas que expliquen el propósito y el resultado esperado. Evita salidas grandes y ruidosas cuando un resumen breve funciona.

  2. Aplica el patrón adecuado. Para experimentos, sigue references/experiment-patterns.md. Para tutoriales, sigue references/tutorial-patterns.md.

  3. Edita de forma segura cuando trabajes con notebooks existentes. Preserva la estructura del notebook; evita reordenar las celdas a menos que mejore la narrativa de arriba hacia abajo. Prefiere ediciones específicas en lugar de reescrituras completas. Si debes editar el JSON bruto, revisa primero references/notebook-structure.md.

  4. Valida el resultado. Ejecuta el notebook de arriba a abajo cuando el entorno lo permita. Si la ejecución no es posible, indícalo explícitamente y explica cómo validar localmente. Usa la lista de verificación final en references/quality-checklist.md.

Show full SKILL.md (241 more words)Show less

Plantillas y script auxiliar

  • Las plantillas se encuentran en assets/experiment-template.ipynb y assets/tutorial-template.ipynb.
  • El script auxiliar carga una plantilla, actualiza la celda de título y escribe un notebook.

Ruta del script:

  • $JUPYTER_NOTEBOOK_CLI (instalado por defecto: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

Convenciones de archivos temporales y de salida

  • Usa tmp/jupyter-notebook/ para archivos intermedios; elimínalos cuando termines.
  • Escribe los artefactos finales en output/jupyter-notebook/ cuando trabajes en este repositorio.
  • Usa nombres de archivo estables y descriptivos (por ejemplo, ablation-temperature.ipynb).

Dependencias (instala solo cuando sea necesario)

Prefiere uv para la gestión de dependencias.

Paquetes opcionales de Python para la ejecución local del notebook:

bash
uv pip install jupyterlab ipykernel

El script de scaffolding incluido utiliza solo la biblioteca estándar de Python y no requiere dependencias adicionales.

Entorno

No se requieren variables de entorno.

Mapa de referencia

  • references/experiment-patterns.md: estructura del experimento y heurísticas.
  • references/tutorial-patterns.md: estructura del tutorial y flujo de enseñanza.
  • references/notebook-structure.md: forma del JSON del notebook y reglas para editar de forma segura.
  • references/quality-checklist.md: lista de verificación final de validación.

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

Descargo de responsabilidad: Este documento ha sido traducido usando el servicio de traducción por IA Co-op Translator. Si bien nos esforzamos por la exactitud, tenga en cuenta que las traducciones automatizadas pueden contener errores o inexactitudes. El documento original en su idioma nativo debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por un traductor humano. No nos hacemos responsables de ningún malentendido o interpretación errónea que surja del uso de esta traducción.

<!-- 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/es/.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
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jupyter Notebook this skillmicrosoft/ai-agents-for-beginners77k—~1.3kAutomated 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

Similar skills

  • Notebook For Experiment

    JetBrains/intellij-community

    Official

    Create reproducible Jupyter notebooks for performance experiments.

    21k GitHub stars~4.4k tokensUpdated today
    Data & AnalyticsAuto-check: warnings
  • Jupyter To Marimo

    ericmjl/llamabot

    Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).

    183 GitHub starsUsed in 2 repos~475 tokens
    Data & AnalyticsAuto-check passed
  • Nbreview

    awdeorio/dotfiles

    This skill should be used when the user asks to "review this notebook", "nbreview", "check my notebook", or otherwise requests a Jupyter notebook review.

    102 GitHub stars~2.2k tokensUpdated 2 days ago
    Data & AnalyticsAuto-check passed
  • Convert a completed data-analysis conversation into evidence-backed, reproducible living research through the Krisk MCP server.

    117 GitHub stars~702 tokensUpdated 7 days ago
    Data & AnalyticsAuto-check passed
  • Doc Release

    mindspore-ai/docs

    MindSpore 文档发布新分支时,链接更替与组件清洗技能,用于清理组件和替换链接. An agent skill from mindspore-ai/docs.

    167 GitHub stars~4.8k tokensUpdated 10 days ago
    Data & AnalyticsAuto-check passed
  • Openai Jupyter Notebook

    trailofbits/skills-curated

    Official

    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…

    513 GitHub stars~1k tokensUpdated 2 mo ago
    Data & AnalyticsAuto-check: notes

More from microsoft/ai-agents-for-beginners

All 123 skills in this repo
  • Jupyter Notebook

    microsoft/ai-agents-for-beginners

    Official

    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…

    77k GitHub starsUsed in 8 repos~1k tokens
    Auto-check passed
  • Azure Openai To Responses

    microsoft/ai-agents-for-beginners

    Official

    Migrate Python apps from Azure OpenAI Chat Completions to the Responses API.

    77k GitHub stars~6k tokensUpdated 20 days ago
    Auto-check: notes
  • Azure Openai To Responses

    microsoft/ai-agents-for-beginners

    Official

    Shift Python apps dem from Azure OpenAI Chat Completions go Responses API.

    77k GitHub stars~6k tokensUpdated 20 days ago
    Auto-check: notes
  • Jupyter Notebook

    microsoft/ai-agents-for-beginners

    Official

    Kasuta, kui kasutaja palub luua, üles ehitada või redigeerida Jupyteri märkmikke (.ipynb) katsetuste, uurimiste või juhendite jaoks; eelista kaasasolevaid malle ja käivita abiskript newnotebook.py…

    77k GitHub stars~1.2k tokensUpdated 20 days ago
    Auto-check passed
  • Jupyter Notebook

    microsoft/ai-agents-for-beginners

    Official

    Käytetään, kun käyttäjä pyytää luomaan, alustamaan tai muokkaamaan Jupyter-muistikirjoja (.ipynb) kokeita, tutkimuksia tai opetusohjelmia varten; käytä mieluummin mukana olevia mallipohjia ja…

    77k GitHub stars~1.3k tokensUpdated 20 days ago
    Auto-check passed
  • Jupyter Notebook

    microsoft/ai-agents-for-beginners

    Official

    À utiliser lorsque l'utilisateur demande de créer, structurer ou modifier des notebooks Jupyter (.ipynb) pour des expériences, explorations ou tutoriels ; privilégiez les modèles fournis et exécutez…

    77k GitHub stars~1.4k tokensUpdated 20 days ago
    Auto-check passed

Works with

Questions about Jupyter Notebook

What does Jupyter Notebook do?

Usar cuando el usuario solicita crear, estructurar o editar cuadernos Jupyter (.ipynb) para experimentos, exploraciones o tutoriales; preferir las plantillas incluidas y ejecutar el script auxiliar…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py para generar un cuaderno inicial limpio.

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/es/.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/es/.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 1.3k 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 1.5k 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.