Official agent skill

Jupyter Notebook

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

사용자가 실험, 탐색 또는 튜토리얼을 위한 Jupyter 노트북(.ipynb)을 생성, 스캐폴딩하거나 편집해 달라고 요청할 때 사용합니다; 번들로 제공되는 템플릿을 우선 사용하고 깨끗한 시작 노트북을 생성하기 위해 헬퍼 스크립트 newnotebook.py를 실행하는 것을 권장합니다.

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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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/ko/.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: ~900 tokens
SKILL.md length: 430 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 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. 사용자가 실험, 탐색 또는 튜토리얼을 위한 Jupyter 노트북(.ipynb)을 생성, 스캐폴딩하거나 편집해 달라고 요청할 때 사용합니다; 번들로 제공되는 템플릿을 우선 사용하고 깨끗한 시작 노트북을 생성하기 위해 헬퍼 스크립트 newnotebook.py를 실행하는 것을 권장합니다.

Its SKILL.md is about 900 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 900 tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 430 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~45
When it runs · the whole SKILL.md, loaded when a task matches: ~900
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). 430 words, ~900 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: 사용자가 실험, 탐색 또는 튜토리얼을 위한 Jupyter 노트북(`.ipynb`)을 생성, 스캐폴딩하거나 편집해 달라고 요청할 때 사용합니다; 번들로 제공되는 템플릿을 우선 사용하고 깨끗한 시작 노트북을 생성하기 위해 헬퍼 스크립트 `new_notebook.py`를 실행하는 것을 권장합니다.

Jupyter Notebook 스킬

두 가지 주요 모드에 대해 깔끔하고 재현 가능한 Jupyter 노트북을 만드세요:

실험 및 탐색적 분석
튜토리얼 및 교육 중심 워크스루

일관된 구조와 JSON 실수 감소를 위해 번들된 템플릿과 도우미 스크립트를 사용하는 것을 권장합니다.

When to use

새로운 .ipynb 노트북을 처음부터 생성할 때.
초안 노트나 스크립트를 구조화된 노트북으로 변환할 때.
기존 노트북을 재현 가능하고 훑어보기 쉬운 형태로 리팩터링할 때.
다른 사람들이 읽거나 다시 실행할 실험이나 튜토리얼을 만들 때.

Decision tree

요청이 탐색적이거나 분석적이거나 가설 기반이라면 experiment를 선택하세요.
요청이 교육적이거나 단계별이거나 특정 대상에 초점을 둔다면 tutorial을 선택하세요.
기존 노트북을 편집하는 경우에는 리팩터로 간주하세요: 의도를 보존하고 구조를 개선하세요.

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"

사용자 범위 스킬은 $CODEX_HOME/skills에 설치됩니다 (기본값: ~/.codex/skills).

Workflow

Lock the intent. Identify the notebook kind: experiment or tutorial. Capture the objective, audience, and what "done" looks like.
Scaffold from the template. 템플릿으로부터 골격을 만드세요. 원시 노트북 JSON을 수동으로 작성하지 않도록 도우미 스크립트를 사용하세요.

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

Fill the notebook with small, runnable steps. 노트북을 작은 실행 가능한 단계들로 채우세요. 각 코드 셀은 한 단계에 집중되도록 하세요. 목적과 예상 결과를 설명하는 짧은 마크다운 셀을 추가하세요. 짧은 요약으로 충분한 경우 큰 소음이 많은 출력은 피하세요.
Apply the right pattern. 실험의 경우 references/experiment-patterns.md를 따르세요. 튜토리얼의 경우 references/tutorial-patterns.md를 따르세요.
Edit safely when working with existing notebooks. 기존 노트북 작업 시 안전하게 편집하세요. 노트북 구조를 보존하세요; 위에서 아래로의 흐름을 개선하지 않는 한 셀의 순서를 변경하지 마세요. 전체 재작성보다 목표 지향적인 편집을 선호하세요. 원시 JSON을 편집해야 한다면 먼저 references/notebook-structure.md를 검토하세요.
Validate the result. 결과를 검증하세요. 환경이 허용하면 노트북을 위에서 아래로 실행하세요. 실행이 불가능하면 이를 명시적으로 알리고 로컬에서 어떻게 검증할지 안내하세요. 마지막 점검 체크리스트는 references/quality-checklist.md를 사용하세요.

Show full SKILL.md (174 more words)Show less

Templates and helper script

템플릿은 assets/experiment-template.ipynb 및 assets/tutorial-template.ipynb에 있습니다.
도우미 스크립트는 템플릿을 불러와 제목 셀을 업데이트하고 노트북을 작성합니다.

Script path:

$JUPYTER_NOTEBOOK_CLI (설치 기본값: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

Temp and output conventions

중간 파일은 tmp/jupyter-notebook/를 사용하고 완료 후 삭제하세요.
이 리포지토리에서 작업할 때 최종 산출물은 output/jupyter-notebook/ 아래에 작성하세요.
안정적이고 설명적인 파일 이름을 사용하세요 (예: ablation-temperature.ipynb).

Dependencies (install only when needed)

필요한 경우에만 설치하세요. 종속성 관리는 uv를 권장합니다.

로컬 노트북 실행을 위한 선택적 Python 패키지:

bash

uv pip install jupyterlab ipykernel

번들된 스캐폴드 스크립트는 Python 표준 라이브러리만 사용하므로 추가 종속성이 필요하지 않습니다.

Environment

필수 환경 변수는 없습니다.

Reference map

references/experiment-patterns.md: 실험 구조 및 휴리스틱.
references/tutorial-patterns.md: 튜토리얼 구조 및 교육 흐름.
references/notebook-structure.md: 노트북 JSON 형태 및 안전한 편집 규칙.
references/quality-checklist.md: 최종 검증 체크리스트.

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

면책사항: 이 문서는 AI 번역 서비스 Co-op Translator를 사용하여 번역되었습니다. 정확성을 위해 최선을 다하고 있으나, 자동 번역에는 오류나 부정확성이 포함될 수 있음을 유의하시기 바랍니다. 원래 언어로 된 원문을 권위 있는 출처로 간주해야 합니다. 중요한 정보에 대해서는 전문 번역가에 의한 번역을 권장합니다. 본 번역의 사용으로 인해 발생하는 어떠한 오해나 잘못된 해석에 대해서도 당사는 책임을 지지 않습니다.

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

Files

SKILL.md and 6 other files (references, assets) in translations/ko/.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	—	~900	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	2 days ago
Nbreviewawdeorio/dotfiles	102	—	~2.2k	Automated safety check: Pass	None	3 days ago
Save Research Notebooknapjon/krisk	117	—	~702	Automated safety check: Pass	BSD-3-Clause	8 days ago
Doc Releasemindspore-ai/docs	167	—	~4.8k	Automated safety check: Pass	Apache-2.0	11 days ago

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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
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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
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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
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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
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Works with

Jupyter

Questions about Jupyter Notebook

What does Jupyter Notebook do?

사용자가 실험, 탐색 또는 튜토리얼을 위한 Jupyter 노트북(.ipynb)을 생성, 스캐폴딩하거나 편집해 달라고 요청할 때 사용합니다; 번들로 제공되는 템플릿을 우선 사용하고 깨끗한 시작 노트북을 생성하기 위해 헬퍼 스크립트 newnotebook.py를 실행하는 것을 권장합니다. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py를 실행하는 것을 권장합니다.

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/ko/.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/ko/.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 900 tokens (SKILL.md is roughly 3.6k 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.

Install Jupyter Notebook

Facts

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 스킬

When to use

Decision tree

Skill path (set once)

Workflow

Templates and helper script

Temp and output conventions

Dependencies (install only when needed)

Environment

Reference map

Files

Compare with similar skills

Similar skills

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Questions about Jupyter Notebook