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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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/sl/.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: ~1.3k tokens
SKILL.md length: 469 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 Kdaj uporabiti, Drevo odločanja, Pot spretnosti (nastavi enkrat) and Potek dela, 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. Uporabite, ko uporabnik prosi za ustvarjanje, pripravo ogrodja ali urejanje Jupyterjevih zvezkov (.ipynb) za poskuse, raziskovanja ali vadnice; prednost dajte priloženim predlogam in za ustvarjanje čistega začetnega zvezka zaženite pripomočni skript newnotebook.py.

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 ~2.6k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 469 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~72
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: ~2.6k

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). 469 words, ~1,253 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: Uporabite, ko uporabnik prosi za ustvarjanje, pripravo ogrodja ali urejanje Jupyterjevih zvezkov (`.ipynb`) za poskuse, raziskovanja ali vadnice; prednost dajte priloženim predlogam in za ustvarjanje čistega začetnega zvezka zaženite pripomočni skript `new_notebook.py`.

Spretnost Jupyter Notebook

Ustvarjajte čiste, ponovljive Jupyter zvezke za dva glavna načina:

Eksperimenti in raziskovalna analiza
Vadnice in učni vodniki

Raje uporabljajte priložene predloge in pomočni skript za dosledno strukturo in manj napak v JSON-u.

Kdaj uporabiti

Ustvarite nov .ipynb zvezek iz nič.
Pretvorite grobe zapiske ali skripte v strukturiran zvezek.
Refaktorirajte obstoječ zvezek, da bo bolj ponovljiv in lažje pregleden.
Zgradite eksperimente ali vadnice, ki jih bodo drugi prebrali ali ponovno zagnali.

Drevo odločanja

Če je zahteva raziskovalna, analitična ali vodena s hipotezo, izberite experiment.
Če je zahteva poučevalna, korak-po-koraku ali osredotočena na določeno občinstvo, izberite tutorial.
Če urejate obstoječi zvezek, ga obravnavajte kot refaktoriranje: ohranite namen in izboljšajte strukturo.

Pot spretnosti (nastavi enkrat)

bash

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

Spretnosti, omejene na uporabnika, se namestijo pod $CODEX_HOME/skills (privzeto: ~/.codex/skills).

Potek dela

Zaklenite namen. Določite vrsto zvezka: experiment ali tutorial. Zabeležite cilj, občinstvo in kako izgleda "done".
Ustvarite ogrodje iz predloge. Uporabite pomočni skript, da se izognete ročnemu ustvarjanju surovega JSON-a zvezka.

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

Zapolnite zvezek z majhnimi, izvedljivimi koraki. Naj bo vsaka celica s kodo osredotočena na en korak. Dodajte kratke markdown celice, ki pojasnijo namen in pričakovani rezultat. Izogibajte se velikim, hrupnim izhodom, kadar zadostuje kratek povzetek.
Uporabite pravi vzorec. Za eksperimente sledite references/experiment-patterns.md. Za vadnice sledite references/tutorial-patterns.md.
Urejajte varno pri delu z obstoječimi zvezki. Ohranite strukturo zvezka; izogibajte se prerazporejanju celic, razen če to izboljša zgodbo od zgoraj navzdol. Raje izberite ciljane popravke kot popolne ponovne zapise. Če morate urejati surov JSON, najprej preglejte references/notebook-structure.md.
Preverite rezultat. Zaženite zvezek od vrha do dna, ko okolje to omogoča. Če izvajanje ni mogoče, to izrecno navedite in pojasnite, kako preveriti lokalno. Uporabite kontrolni seznam zadnjega pregleda v references/quality-checklist.md.

Show full SKILL.md (199 more words)Show less

Predloge in pomočni skript

Predloge se nahajajo v assets/experiment-template.ipynb in assets/tutorial-template.ipynb.
Pomožni skript naloži predlogo, posodobi celico z naslovom in zapiše zvezek.

Pot do skripta:

$JUPYTER_NOTEBOOK_CLI (privzeto nameščen: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

Konvencije začasnih in izhodnih datotek

Uporabljajte tmp/jupyter-notebook/ za vmesne datoteke; izbrišite po končanju.
Zapišite končne artefakte v output/jupyter-notebook/, ko delate v tem repozitoriju.
Uporabljajte stabilna, opisna imena datotek (na primer, ablation-temperature.ipynb).

Odvisnosti (namestite le po potrebi)

Za upravljanje odvisnosti raje uporabljajte uv.

Neobvezni paketi Python za lokalno izvajanje zvezkov:

bash

uv pip install jupyterlab ipykernel

Vgrajeni skript za ogrodje uporablja samo standardno knjižnico Pythona in ne zahteva dodatnih odvisnosti.

Okolje

Ni potrebnih okoljskih spremenljivk.

Zemljevid referenc

references/experiment-patterns.md: struktura eksperimenta in heuristike.
references/tutorial-patterns.md: struktura vadnic in potek poučevanja.
references/notebook-structure.md: obliko JSON-a zvezka in pravila varnega urejanja.
references/quality-checklist.md: kontrolni seznam za končno preverjanje.

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

Izjava o omejitvi odgovornosti: Ta dokument je bil preveden z uporabo storitve za prevajanje, ki temelji na umetni inteligenci, Co-op Translator. Čeprav si prizadevamo za natančnost, upoštevajte, da lahko avtomatizirani prevodi vsebujejo napake ali netočnosti. Izvirni dokument v njegovem izvor‑nem jeziku se šteje za avtoritativni vir. Za kritične informacije priporočamo strokovni človeški prevod. Ne odgovarjamo za morebitne nesporazume ali napačne razlage, ki izhajajo iz uporabe tega prevoda.

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

Files

SKILL.md and 6 other files (references, assets) in translations/sl/.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	—	~1.3k	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	10 days ago

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 3 days ago
Data & AnalyticsAuto-check passed
Save Research Notebook
napjon/krisk
Convert a completed data-analysis conversation into evidence-backed, reproducible living research through the Krisk MCP server.
117 GitHub stars~702 tokensUpdated 8 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

Jupyter

Questions about Jupyter Notebook

What does Jupyter Notebook do?

Uporabite, ko uporabnik prosi za ustvarjanje, pripravo ogrodja ali urejanje Jupyterjevih zvezkov (.ipynb) za poskuse, raziskovanja ali vadnice; prednost dajte priloženim predlogam in za ustvarjanje…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py.

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/sl/.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/sl/.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 5k 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 1.4k 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 76,686 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

Spretnost Jupyter Notebook

Kdaj uporabiti

Drevo odločanja

Pot spretnosti (nastavi enkrat)

Potek dela

Predloge in pomočni skript

Konvencije začasnih in izhodnih datotek

Odvisnosti (namestite le po potrebi)

Okolje

Zemljevid referenc

Files

Compare with similar skills

Similar skills

More from microsoft/ai-agents-for-beginners

Related

Questions about Jupyter Notebook