Official agent skill

Jupyter Notebook

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

Използвайте, когато потребителят иска да създаде, да изгради основна структура за или да редактира Jupyter тетрадки (.ipynb) за експерименти, изследвания или уроци; предпочитайте вградените шаблони…

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/bg/.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
495 words
Files
7 (incl. references, assets)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Използвайте, когато потребителят иска да създаде, да изгради основна структура за или да редактира Jupyter тетрадки (.ipynb) за експерименти, изследвания или уроци; предпочитайте вградените шаблони…

  • Tasks that involve Jupyter notebooks
  • SKILL.md covers Кога да използвате, Дърво на решенията, Път на умението (за настройка… and Работен процес, 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. Използвайте, когато потребителят иска да създаде, да изгради основна структура за или да редактира Jupyter тетрадки (.ipynb) за експерименти, изследвания или уроци; предпочитайте вградените шаблони и стартирайте помощния скрипт newnotebook.py, за да генерирате чист начален файл на тетрадка.

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 ff2ba66. 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 ~3.7k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 495 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
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
~3.7k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/ai-agents-for-beginners at commit ff2ba66, republished under its MIT licence (© microsoft). 495 words, ~1,283 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
Използвайте, когато потребителят иска да създаде, да изгради основна структура за или да редактира Jupyter тетрадки (`.ipynb`) за експерименти, изследвания или уроци; предпочитайте вградените шаблони и стартирайте помощния скрипт `new_notebook.py`, за да генерирате чист начален файл на тетрадка.

Умение за Jupyter Notebook

Създавайте чисти, възпроизводими Jupyter бележници за два основни режима:

  • Експерименти и изследователски анализ
  • Уроци и ръководства, ориентирани към обучение

Предпочитайте вградените шаблони и помощния скрипт за последователна структура и по-малко грешки в JSON.

Кога да използвате

  • Създайте нов .ipynb бележник от нулата.
  • Конвертирайте неполни бележки или скриптове в структуриран бележник.
  • Рефакторирайте съществуващ бележник, за да бъде по-възпроизводим и лесен за преглед.
  • Създавайте експерименти или уроци, които ще бъдат прочетени или преизпълнени от други хора.

Дърво на решенията

  • Ако заявката е изследователска, аналитична или хипотетично-ориентирана, изберете experiment.
  • Ако заявката е инструктивна, стъпка по стъпка или насочена към конкретна аудитория, изберете tutorial.
  • Ако редактирате съществуващ бележник, третирайте го като рефакториране: запазете намерението и подобрете структурата.

Път на умението (за настройка веднъж)

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

Потребителските умения се инсталират под $CODEX_HOME/skills (по подразбиране: ~/.codex/skills).

Работен процес

  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.

Шаблони и помощен скрипт

  • Шаблоните се намират в assets/experiment-template.ipynb и assets/tutorial-template.ipynb.
  • Помощният скрипт зарежда шаблон, обновява заглавната клетка и записва бележник.

Script path:

  • $JUPYTER_NOTEBOOK_CLI (installed default: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)
Show full SKILL.md (188 more words)Show less

Конвенции за временни и изходни файлове

  • Използвайте tmp/jupyter-notebook/ за междинни файлове; изтрийте след приключване.
  • Записвайте финалните артефакти под output/jupyter-notebook/, когато работите в това repo.
  • Използвайте стабилни, описателни имена на файлове (например, ablation-temperature.ipynb).

Зависимости (инсталирайте само при необходимост)

Предпочитайте uv за управление на зависимости.

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.

Среда

Не са необходими променливи на средата.

Справочна карта

  • references/experiment-patterns.md: структура на експеримента и евристики.
  • references/tutorial-patterns.md: структура на урока и поток на обучение.
  • references/notebook-structure.md: формат на notebook JSON и правила за безопасно редактиране.
  • references/quality-checklist.md: контролен списък за финална проверка.

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

Отказ от отговорност:

Този документ е преведен с помощта на услуга за превод с изкуствен интелект Co-op Translator. Въпреки че се стремим към точност, имайте предвид, че автоматизираните преводи могат да съдържат грешки или неточности. Оригиналният документ на оригиналния език трябва да се счита за авторитетен източник. За критична информация препоръчваме професионален превод от квалифициран човешки преводач. Не носим отговорност за каквито и да е недоразумения или погрешни тълкувания, произтичащи от използването на този превод.

<!-- 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/bg/.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 ff2ba66

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

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Works with

Questions about Jupyter Notebook

What does Jupyter Notebook do?

Използвайте, когато потребителят иска да създаде, да изгради основна структура за или да редактира Jupyter тетрадки (.ipynb) за експерименти, изследвания или уроци; предпочитайте вградените шаблони…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py, за да генерирате чист начален файл на тетрадка.

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/bg/.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/bg/.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 5.1k 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 2.4k 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 76,795 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 9, 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.