Official agent skill

Jupyter Notebook

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

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…

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/et/.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
~1.2k tokens
SKILL.md length
404 words
Files
7 (incl. references, assets)
Skills in repo
123
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Tasks that involve Jupyter notebooks
  • SKILL.md covers Millal kasutada, Otsustuspuu, Oskuse rada (määratakse üks… and Töövoog, 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. 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, et genereerida puhas algne märkmik.

Its SKILL.md is about 1.2k 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 1.2k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 404 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
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). 404 words, ~1,223 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
Kasuta, kui kasutaja palub luua, üles ehitada või redigeerida Jupyteri märkmikke (`.ipynb`) katsetuste, uurimiste või juhendite jaoks; eelista kaasasolevaid malle ja käivita abiskript `new_notebook.py`, et genereerida puhas algne märkmik.

Jupyter Notebooki oskus

Loo puhtaid, reprodutseeritavaid Jupyter-märkmikke kahe peamise režiimi jaoks:

  • Eksperimendid ja avastuslik analüüs
  • Õpetused ja õpetamisele suunatud samm-sammult juhendid

Eelista kaasasolevaid malle ja abiskripti ühtlase struktuuri ja vähem JSON-vigade saavutamiseks.

Millal kasutada

  • Loo uus .ipynb märkmik nullist.
  • Muuda toored märkmed või skriptid struktureeritud märkmikuks.
  • Refaktoreeri olemasolev märkmik, et see oleks reprodutseeritavam ja kiiremini läbitav.
  • Loo eksperimente või õpetusi, mida teised saavad lugeda või uuesti käivitada.

Otsustuspuu

  • Kui päring on avastuslik, analüütiline või hüpoteesikeskne, vali experiment.
  • Kui päring on juhendav, samm-sammult või sihtrühmale suunatud, vali tutorial.
  • Kui redigeerid olemasolevat märkmikku, käsitle seda kui refaktoreerimist: säilita eesmärk ja paranda struktuuri.

Oskuse rada (määratakse üks kord)

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).

Töövoog

  1. Lukusta eesmärk. Tuvasta märkmiku liik: experiment või tutorial. Kirjuta üles eesmärk, sihtrühm ja kuidas näeb välja "valmis".

  2. Skafoldi mallist. Kasuta abiskripti, et vältida märkmiku JSON-i käsitsi kirjutamist.

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. Täida märkmik väikeste, käivitatavate sammudega. Hoia iga koodirakk keskendunud ühele sammule. Lisa lühikesed markdown-rakud, mis selgitavad eesmärki ja oodatavat tulemust. Väldi suuri, mürarikkaid väljundeid, kui lühike kokkuvõte on piisav.

  2. Kasuta õiget mustrit. Eksperimentide puhul järgi references/experiment-patterns.md. Õpetuste puhul järgi references/tutorial-patterns.md.

  3. Redigeeri turvaliselt, kui töötad olemasolevate märkmikutega. Säilita märkmiku struktuur; väldi rakkude ümberjärjestamist, välja arvatud juhul, kui see parandab loogilist ülalt alla voogu. Eelista sihitud muudatusi täieliku ümberkirjutamise asemel. Kui pead redigeerima toorest JSON-i, vaata esmalt üle references/notebook-structure.md.

  4. Kinnita tulemus. Käivita märkmik ülalt alla, kui keskkond seda lubab. Kui käivitamine ei ole võimalik, teavita sellest selgelt ja täpsusta, kuidas seda lokaalselt kinnitada. Kasuta lõplikku kontrollnimekirja failist references/quality-checklist.md.

Show full SKILL.md (160 more words)Show less

Mallid ja abiskript

  • Mallid asuvad assets/experiment-template.ipynb ja assets/tutorial-template.ipynb.
  • Abiskript laeb malli, uuendab pealkirjarakku ja kirjutab märkmiku.

Skripti asukoht:

  • $JUPYTER_NOTEBOOK_CLI (vaikimisi paigaldus: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

Ajutiste ja väljundi konventsioonid

  • Kasuta vahelfailide jaoks tmp/jupyter-notebook/; kustuta pärast kasutamist.
  • Kirjuta lõplikud artefaktid kataloogi output/jupyter-notebook/, kui töötad selles hoidlas.
  • Kasuta stabiilseid, kirjeldavaid failinimesid (näiteks ablation-temperature.ipynb).

Sõltuvused (paigalda ainult vajadusel)

Eelista sõltuvuste haldamisel uv.

Valikulised Python-paketid lokaalse märkmiku käivitamiseks:

bash
uv pip install jupyterlab ipykernel

Kaasasolev skafoldi skript kasutab ainult Python-i standardteeki ega vaja täiendavaid sõltuvusi.

Keskkond

Pole nõutud keskkonnamuutujaid.

Viidete kaart

  • references/experiment-patterns.md: eksperimendi struktuur ja heuristikad.
  • references/tutorial-patterns.md: õpetuse struktuur ja õpetamisvoog.
  • references/notebook-structure.md: märkmiku JSON-kuju ja ohutu redigeerimise reeglid.
  • references/quality-checklist.md: lõplik kontrollnimekiri.

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

Vastutusest loobumine: See dokument on tõlgitud tehisintellektil põhineva tõlketeenuse Co-op Translator abil (https://github.com/Azure/co-op-translator). Kuigi püüame tagada täpsust, palun arvestage, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokument algses keeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta mis tahes selle tõlke kasutamisest tulenevate arusaamatuste või väärtõlgenduste eest.

<!-- 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/et/.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—~1.2kAutomated 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?

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…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py, et genereerida puhas algne märkmik.

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/et/.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/et/.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 1.2k tokens (SKILL.md is roughly 4.9k 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.