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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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/lt/.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: 441 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 Kada naudoti, Sprendimų medis, Įgūdžio kelias (nustatyti… and Darbo eiga, 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. Naudokite, kai vartotojas prašo sukurti, paruošti arba redaguoti Jupyter užrašų knygeles (.ipynb) eksperimentams, tyrimams arba pamokoms; teikite pirmenybę pridedamiems šablonams ir paleiskite pagalbinį scenarijų newnotebook.py, kad sugeneruotumėte švarų pradinį užrašų knygelę.

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 ~2.8k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 441 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~75
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: ~2.8k

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). 441 words, ~1,318 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: Naudokite, kai vartotojas prašo sukurti, paruošti arba redaguoti Jupyter užrašų knygeles (`.ipynb`) eksperimentams, tyrimams arba pamokoms; teikite pirmenybę pridedamiems šablonams ir paleiskite pagalbinį scenarijų `new_notebook.py`, kad sugeneruotumėte švarų pradinį užrašų knygelę.

Jupyter Notebook įgūdis

Kurti tvarkingas, reprodukuojamas Jupyter užrašų knygeles dviem pagrindiniais režimais:

Eksperimentai ir tyrinėjamoji analizė
Pamokos ir mokymui skirtos žingsnis po žingsnio instrukcijos

Teikite pirmenybę pridedamiems šablonams ir pagalbiniam skriptui dėl nuoseklios struktūros ir mažiau JSON klaidų.

Kada naudoti

Sukurti naują .ipynb užrašų knygelę nuo pradžių.
Paversti užrašus ar skriptus į struktūrizuotą užrašų knygelę.
Refaktorizuoti esamą užrašų knygelę, kad ji būtų labiau reprodukuojama ir lengvai peržvelgiama.
Kurti eksperimentus ar pamokas, kurias skaitys ar vėl paleis kiti žmonės.

Sprendimų medis

Jei užklausa yra tyrinėjamoji, analitinė arba grindžiama hipoteze, pasirinkite experiment.
Jei užklausa yra instruktyvinė, žingsnis po žingsnio arba skirta konkrečiai auditorijai, pasirinkite tutorial.
Redaguodami esamą užrašų knygelę, traktaukite tai kaip refaktoringą: išsaugokite paskirtį ir pagerinkite struktūrą.

Įgūdžio kelias (nustatyti vieną kartą)

bash

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

Vartotojo lygio įgūdžiai įdiegiami po $CODEX_HOME/skills (numatytasis: ~/.codex/skills).

Darbo eiga

Užfiksuokite ketinimą. Nustatykite užrašų knygelės tipą: experiment arba tutorial. Apibrėžkite tikslą, auditoriją ir kaip atrodytų "užbaigta".
Sukurkite karkasą iš šablono. Naudokite pagalbinį skriptą, kad išvengtumėte rankinio notebook JSON rašymo.

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

Užpildykite užrašų knygelę mažais, paleidžiamais žingsniais. Kiekvieną kodo ląstelę orientuokite į vieną žingsnį. Pridėkite trumpas markdown ląsteles, kurios paaiškina paskirtį ir tikėtiną rezultatą. Venkite didelių, triukšmingų išvesčių, kai pakanka trumpo santraukos.
Taikykite tinkamą modelį. Eksperimentams vadovaukitės references/experiment-patterns.md. Pamokoms vadovaukitės references/tutorial-patterns.md.
Redaguokite saugiai dirbdami su esamomis užrašų knygelėmis. Išsaugokite užrašų knygelės struktūrą; venkite ląstelių pertvarkymo, nebent tai pagerina pasakojimą nuo viršaus žemyn. Teikite pirmenybę tiksliems redagavimams, o ne pilniems perrašymams. Jei privalote redaguoti neapdorotą JSON, pirmiausia peržiūrėkite references/notebook-structure.md.
Patikrinkite rezultatą. Paleiskite užrašų knygelę nuo pradžios iki pabaigos, kai aplinka leidžia. Jei vykdyti neįmanoma, aiškiai apie tai praneškite ir nurodykite, kaip patikrinti vietoje. Naudokite galutinį patikros sąrašą references/quality-checklist.md.

Show full SKILL.md (177 more words)Show less

Šablonai ir pagalbinis skriptas

Šablonai yra assets/experiment-template.ipynb ir assets/tutorial-template.ipynb.
Pagalbinis skriptas įkelia šabloną, atnaujina pavadinimo ląstelę ir įrašo užrašų knygelę.

Script path:

$JUPYTER_NOTEBOOK_CLI (įdiegtas numatytasis: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)

Laikinos ir išvesties konvencijos

Naudokite tmp/jupyter-notebook/ tarpinėms byloms; ištrinkite pabaigus.
Galutinius artefaktus įrašykite į output/jupyter-notebook/ dirbant šiame repozitorijoje.
Naudokite stabilias, aprašomas failų pavadinimus (pavyzdžiui, ablation-temperature.ipynb).

Priklausomybės (įdiekite tik kai reikia)

Pirmenybę skirkite uv priklausomybių valdymui.

Pasirenkami Python paketai vietiniam užrašų knygelės vykdymui:

bash

uv pip install jupyterlab ipykernel

Pridėtas šablono skriptas naudoja tik Python standartinę biblioteką ir nereikalauja papildomų priklausomybių.

Aplinka

Nėra privalomų aplinkos kintamųjų.

Nuorodų žemėlapis

references/experiment-patterns.md: eksperimento struktūra ir heuristika.
references/tutorial-patterns.md: pamokos struktūra ir mokymo eiga.
references/notebook-structure.md: užrašų knygelės JSON forma ir saugaus redagavimo taisyklės.
references/quality-checklist.md: galutinis patikrinimo sąrašas.

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

Atsakomybės apribojimas: Šis dokumentas buvo išverstas naudojant dirbtinio intelekto vertimo paslaugą Co-op Translator. Nors siekiame tikslumo, atkreipkite dėmesį, kad automatiniai vertimai gali turėti klaidų ar netikslumų. Originalus dokumentas jo gimtąja kalba turėtų būti laikomas autoritetingu šaltiniu. Dėl svarbios informacijos rekomenduojama kreiptis į profesionalų žmogaus vertimą. Mes neatsakome už jokius nesusipratimus ar neteisingą aiškinimą, kilusius dėl šio vertimo naudojimo.

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

Files

SKILL.md and 6 other files (references, assets) in translations/lt/.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	2 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

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Works with

Jupyter

Questions about Jupyter Notebook

What does Jupyter Notebook do?

Naudokite, kai vartotojas prašo sukurti, paruošti arba redaguoti Jupyter užrašų knygeles (.ipynb) eksperimentams, tyrimams arba pamokoms; teikite pirmenybę pridedamiems šablonams ir paleiskite…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py, kad sugeneruotumėte švarų pradinį užrašų knygelę.

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/lt/.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/lt/.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 5.3k 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 1.5k 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 įgūdis

Kada naudoti

Sprendimų medis

Įgūdžio kelias (nustatyti vieną kartą)

Darbo eiga

Šablonai ir pagalbinis skriptas

Laikinos ir išvesties konvencijos

Priklausomybės (įdiekite tik kai reikia)

Aplinka

Nuorodų žemėlapis

Files

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