Official agent skill

Jupyter Notebook

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

在用户请求为实验、探索或教程创建、搭建或编辑 Jupyter 笔记本(.ipynb)时使用;优先使用捆绑的模板并运行辅助脚本 newnotebook.py 来生成一个干净的起始笔记本。

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/zh-CN/.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
~815 tokens
SKILL.md length
233 words
Files
7 (incl. references, assets)
Skills in repo
123
Repo updated
First seen
Licence
MIT

At a glance

在用户请求为实验、探索或教程创建、搭建或编辑 Jupyter 笔记本(.ipynb)时使用;优先使用捆绑的模板并运行辅助脚本 newnotebook.py 来生成一个干净的起始笔记本。

  • Tasks that involve Jupyter notebooks
  • SKILL.md covers 何时使用, 决策树, 技能路径(设置一次) and 工作流程, 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. 在用户请求为实验、探索或教程创建、搭建或编辑 Jupyter 笔记本(.ipynb)时使用;优先使用捆绑的模板并运行辅助脚本 newnotebook.py 来生成一个干净的起始笔记本。

Its SKILL.md is about 820 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 815 tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 29 tokens; SKILL.md has 233 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~815
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

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). 233 words, ~815 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
在用户请求为实验、探索或教程创建、搭建或编辑 Jupyter 笔记本(`.ipynb`)时使用;优先使用捆绑的模板并运行辅助脚本 `new_notebook.py` 来生成一个干净的起始笔记本。

Jupyter Notebook 技能

为两种主要模式创建简洁、可重现的 Jupyter 笔记本:

  • 实验与探索性分析
  • 教程与面向教学的分步演示

优先使用捆绑的模板和辅助脚本,以获得一致的结构并减少 JSON 错误。

何时使用

  • 从头创建一个新的 .ipynb 笔记本。
  • 将粗略的笔记或脚本转换为结构化的笔记本。
  • 重构现有笔记本,使其更可重现且更易浏览。
  • 构建将被他人阅读或重新运行的实验或教程。

决策树

  • 如果请求是探索性的、分析性的或基于假设的,请选择 experiment。
  • 如果请求是教学性的、逐步的或针对特定受众的,请选择 tutorial。
  • 如果编辑现有笔记本,请将其视为重构:保留原意并改进结构。

技能路径(设置一次)

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).

工作流程

  1. 确定意图。 Identify the notebook kind: experiment or tutorial. Capture the objective, audience, and what "done" looks like.

  2. 从模板搭建脚手架。 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. 用小的、可运行的步骤填充笔记本。 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. 应用合适的模式。 For experiments, follow references/experiment-patterns.md. For tutorials, follow references/tutorial-patterns.md.

  3. 在处理现有笔记本时安全编辑。 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. 验证结果。 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.

模板与辅助脚本

  • 模板位于 assets/experiment-template.ipynb 和 assets/tutorial-template.ipynb。
  • 辅助脚本加载模板,更新标题单元格,并写出笔记本。

脚本路径:

  • $JUPYTER_NOTEBOOK_CLI (安装默认: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

临时与输出约定

  • 对于中间文件使用 tmp/jupyter-notebook/;完成后删除。
  • 在此仓库中工作时,将最终产物写入 output/jupyter-notebook/。
  • 使用稳定且描述性的文件名(例如,ablation-temperature.ipynb)。

依赖项(仅在需要时安装)

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.

环境

No required environment variables.

参考映射

  • references/experiment-patterns.md: 实验结构与启发式准则。
  • references/tutorial-patterns.md: 教程结构与教学流程。
  • references/notebook-structure.md: 笔记本 JSON 结构与安全编辑规则。
  • references/quality-checklist.md: 最终验证检查清单。

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

免责声明: 本文件已使用 AI 翻译服务 Co-op Translator 进行翻译。虽然我们努力保证准确性,但自动翻译可能存在错误或不准确之处。应以原文(原始语言版本)为准。对于重要信息,建议采用专业人工翻译。由于使用本翻译而导致的任何误解或误释,我们概不负责。

<!-- 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/zh-CN/.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—~815Automated 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?

在用户请求为实验、探索或教程创建、搭建或编辑 Jupyter 笔记本(.ipynb)时使用;优先使用捆绑的模板并运行辅助脚本 newnotebook.py 来生成一个干净的起始笔记本。. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.

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/zh-CN/.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/zh-CN/.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 815 tokens (SKILL.md is roughly 3.3k 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 1.2k 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.