Official agent skill

Jupyter Notebook

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

Bruk når brukeren ber om å opprette, sette opp eller redigere Jupyter-notatbøker (.ipynb) for eksperimenter, utforskninger eller veiledninger; foretrekk de medfølgende malene og kjør hjelpeskriptet…

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/no/.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
446 words
Files
7 (incl. references, assets)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Bruk når brukeren ber om å opprette, sette opp eller redigere Jupyter-notatbøker (.ipynb) for eksperimenter, utforskninger eller veiledninger; foretrekk de medfølgende malene og kjør hjelpeskriptet…

  • Tasks that involve Jupyter notebooks
  • SKILL.md covers Når du skal bruke, Beslutningstre, Kompetansesti (settes én gang) and Arbeidsflyt, 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. Bruk når brukeren ber om å opprette, sette opp eller redigere Jupyter-notatbøker (.ipynb) for eksperimenter, utforskninger eller veiledninger; foretrekk de medfølgende malene og kjør hjelpeskriptet newnotebook.py for å generere en ren startnotatbok.

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 ~2.7k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 446 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
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
~2.7k

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). 446 words, ~1,256 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
Bruk når brukeren ber om å opprette, sette opp eller redigere Jupyter-notatbøker (`.ipynb`) for eksperimenter, utforskninger eller veiledninger; foretrekk de medfølgende malene og kjør hjelpeskriptet `new_notebook.py` for å generere en ren startnotatbok.

Jupyter Notebook-ferdighet

Lag rene, reproduserbare Jupyter-notatbøker for to hovedmoduser:

  • Eksperimenter og utforskende analyse
  • Veiledninger og undervisningsorienterte gjennomganger

Foretrekk de inkluderte malene og hjelpeskriptet for konsistent struktur og færre JSON-feil.

Når du skal bruke

  • Opprett en ny .ipynb-notatbok fra bunnen av.
  • Konverter uferdige notater eller skript til en strukturert notatbok.
  • Refaktorer en eksisterende notatbok for å bli mer reproduserbar og lett å skumme.
  • Bygg eksperimenter eller veiledninger som skal leses eller kjøres av andre.

Beslutningstre

  • Hvis forespørselen er utforskende, analytisk eller hypotesedrevet, velg experiment.
  • Hvis forespørselen er instruksjonell, steg-for-steg eller målgruppe-spesifikk, velg tutorial.
  • Hvis du redigerer en eksisterende notatbok, behandl det som en refaktorering: bevar intensjonen og forbedre strukturen.

Kompetansesti (settes én gang)

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

Brukerspesifikke ferdigheter installeres under $CODEX_HOME/skills (standard: ~/.codex/skills).

Arbeidsflyt

  1. Lås intensjonen. Identifiser notatboktypen: experiment eller tutorial. Fang målet, målgruppen, og hva "done" ser ut som.

  2. Bygg skjelett fra malen. Bruk hjelpeskriptet for å unngå manuell redigering av rå 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. Fyll notatboken med små, kjørbare steg. Hold hver kodecelle fokusert på ett steg. Legg til korte markdown-celler som forklarer formålet og forventet resultat. Unngå store, støyende utdata når en kort oppsummering fungerer.

  2. Bruk riktig mønster. For eksperimenter, følg references/experiment-patterns.md. For veiledninger, følg references/tutorial-patterns.md.

  3. Rediger trygt når du arbeider med eksisterende notatbøker. Bevar notatbokens struktur; unngå å omorganisere celler med mindre det forbedrer historien ovenfra og ned. Foretrekk målrettede endringer framfor fullstendige omskrivinger. Hvis du må redigere rå JSON, gå gjennom references/notebook-structure.md først.

  4. Valider resultatet. Kjør notatboken ovenfra og ned når miljøet tillater det. Hvis kjøring ikke er mulig, si det eksplisitt og forklar hvordan man kan validere lokalt. Bruk sjekklisten i siste gjennomgang i references/quality-checklist.md.

Show full SKILL.md (182 more words)Show less

Malene og hjelpeskriptet

  • Malene ligger i assets/experiment-template.ipynb og assets/tutorial-template.ipynb.
  • Hjelpeskriptet laster en mal, oppdaterer tittelen i cellen, og skriver en notatbok.

Scriptbane:

  • $JUPYTER_NOTEBOOK_CLI (installert som standard: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

Midlertidige filer og utdata-konvensjoner

  • Bruk tmp/jupyter-notebook/ for mellomliggende filer; slett når du er ferdig.
  • Skriv endelige artefakter under output/jupyter-notebook/ når du arbeider i dette repoet.
  • Bruk stabile, beskrivende filnavn (for eksempel, ablation-temperature.ipynb).

Avhengigheter (installer kun når nødvendig)

Foretrekk uv for avhengighetsstyring.

Valgfrie Python-pakker for lokal notatbokkjøring:

bash
uv pip install jupyterlab ipykernel

Det medfølgende skjelettskriptet bruker bare Pythons standardbibliotek og krever ingen ekstra avhengigheter.

Miljø

Ingen påkrevde miljøvariabler.

Referansekart

  • references/experiment-patterns.md: struktur og heuristikker for eksperimenter.
  • references/tutorial-patterns.md: struktur for veiledninger og undervisningsflyt.
  • references/notebook-structure.md: notatbok-JSON-form og regler for sikker redigering.
  • references/quality-checklist.md: sluttvaliderings-sjekkliste.

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

Ansvarsfraskrivelse: Dette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten Co-op Translator. Selv om vi streber etter nøyaktighet, vennligst vær oppmerksom på at automatiske oversettelser kan inneholde feil eller unøyaktigheter. Det opprinnelige dokumentet på originalspråket bør anses som den autoritative kilden. For kritisk informasjon anbefales profesjonell, menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen.

<!-- 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/no/.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?

Bruk når brukeren ber om å opprette, sette opp eller redigere Jupyter-notatbøker (.ipynb) for eksperimenter, utforskninger eller veiledninger; foretrekk de medfølgende malene og kjør hjelpeskriptet…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py for å generere en ren startnotatbok.

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/no/.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/no/.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 76,795 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.