Notebook For Experiment
JetBrains/intellij-community
Create reproducible Jupyter notebooks for performance experiments.
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…
Install Jupyter Notebook
$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .claude/skills && cp -r skills-src/translations/fr/.agents/skills/jupyter-notebook .claude/skills/jupyter-notebook && rm -rf skills-srcUse ~/.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/
Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/fr/.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 install https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/fr/.agents/skills/jupyter-notebookType 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.
$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .agents/skills && cp -r skills-src/translations/fr/.agents/skills/jupyter-notebook .agents/skills/jupyter-notebook && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/fr/.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.
$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/translations/fr/.agents/skills/jupyter-notebook .cursor/skills/jupyter-notebook && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/fr/.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 https://github.com/microsoft/ai-agents-for-beginners.git --path translations/fr/.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.
$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/translations/fr/.agents/skills/jupyter-notebook .gemini/skills/jupyter-notebook && rm -rf skills-srcUse ~/.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/
Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/fr/.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.
$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebookInstalls 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).
$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .github/skills && cp -r skills-src/translations/fr/.agents/skills/jupyter-notebook .github/skills/jupyter-notebook && rm -rf skills-srcUse ~/.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/
Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/fr/.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.
$ npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/ai-agents-for-beginners jupyter-notebook --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/ai-agents-for-beginners.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/translations/fr/.agents/skills/jupyter-notebook .opencode/skills/jupyter-notebook && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jupyter-notebook" agent skill from https://github.com/microsoft/ai-agents-for-beginners/tree/main/translations/fr/.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
- ~1.4k tokens
- SKILL.md length
- 588 words
- Files
- 7 (incl. references, assets)
- Skills in repo
- 123
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Tasks that involve Jupyter notebooks
- SKILL.md covers Quand l'utiliser, Arbre décisionnel, Chemin de compétence (à… and Flux de travail, 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. 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 le script d'aide newnotebook.py pour générer un notebook de départ propre.
Its SKILL.md is about 1.4k 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 1.4k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 588 words of instructions outside code blocks.
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). 588 words, ~1,423 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
- 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 le script d'aide `new_notebook.py` pour générer un notebook de départ propre.
Compétence Jupyter Notebook
Créez des notebooks Jupyter propres et reproductibles pour deux modes principaux :
- Expériences et analyse exploratoire
- Tutoriels et parcours guidés à visée pédagogique
Privilégiez les modèles fournis et le script d'assistance pour une structure cohérente et moins d'erreurs JSON.
Quand l'utiliser
- Créez un nouveau notebook
.ipynbà partir de zéro. - Convertissez des notes ou des scripts bruts en un notebook structuré.
- Refactorez un notebook existant pour le rendre plus reproductible et plus facile à parcourir.
- Réalisez des expériences ou des tutoriels destinés à être lus ou réexécutés par d'autres personnes.
Arbre décisionnel
- Si la demande est exploratoire, analytique ou guidée par des hypothèses, choisissez
experiment. - Si la demande est didactique, étape par étape ou ciblée sur un public spécifique, choisissez
tutorial. - Si vous modifiez un notebook existant, considérez cela comme une refonte : préservez l'intention et améliorez la structure.
Chemin de compétence (à définir une fois)
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export JUPYTER_NOTEBOOK_CLI="$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py"Les skills au niveau utilisateur s'installent sous $CODEX_HOME/skills (par défaut : ~/.codex/skills).
Flux de travail
Verrouillez l'intention. Identifiez le type de notebook :
experimentoututorial. Consignez l'objectif, le public et à quoi ressemble "terminé".Générez la structure à partir du modèle. Utilisez le script d'aide pour éviter d'éditer manuellement le JSON brut du notebook.
uv run --python 3.12 python "$JUPYTER_NOTEBOOK_CLI" \
--kind experiment \
--title "Compare prompt variants" \
--out output/jupyter-notebook/compare-prompt-variants.ipynbuv run --python 3.12 python "$JUPYTER_NOTEBOOK_CLI" \
--kind tutorial \
--title "Intro to embeddings" \
--out output/jupyter-notebook/intro-to-embeddings.ipynbRemplissez le notebook avec de petites étapes exécutables. Veillez à ce que chaque cellule de code soit axée sur une seule étape. Ajoutez de courtes cellules Markdown qui expliquent l'objectif et le résultat attendu. Évitez les sorties volumineuses et bruyantes lorsqu'un bref résumé suffit.
Appliquez le bon modèle. Pour les expériences, suivez
references/experiment-patterns.md. Pour les tutoriels, suivezreferences/tutorial-patterns.md.Modifiez en toute sécurité lorsque vous travaillez sur des notebooks existants. Préservez la structure du notebook ; évitez de réordonner les cellules sauf si cela améliore la progression de haut en bas. Privilégiez les modifications ciblées plutôt que les réécritures complètes. Si vous devez modifier le JSON brut, consultez d'abord
references/notebook-structure.md.Validez le résultat. Exécutez le notebook de haut en bas lorsque l'environnement le permet. Si l'exécution n'est pas possible, indiquez-le explicitement et précisez comment valider localement. Utilisez la liste de contrôle finale dans
references/quality-checklist.md.
Show full SKILL.md (248 more words)Show less
Modèles et script d'assistance
- Les modèles se trouvent dans
assets/experiment-template.ipynbetassets/tutorial-template.ipynb. - Le script d'assistance charge un modèle, met à jour la cellule de titre et écrit un notebook.
Chemin du script:
$JUPYTER_NOTEBOOK_CLI(installé par défaut :$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)
Conventions pour les fichiers temporaires et de sortie
- Utilisez
tmp/jupyter-notebook/pour les fichiers intermédiaires ; supprimez-les une fois terminé. - Placez les artefacts finaux sous
output/jupyter-notebook/lorsque vous travaillez dans ce dépôt. - Utilisez des noms de fichiers stables et descriptifs (par exemple,
ablation-temperature.ipynb).
Dépendances (installer uniquement si nécessaire)
Privilégiez uv pour la gestion des dépendances.
Packages Python optionnels pour l'exécution locale du notebook:
uv pip install jupyterlab ipykernelLe script d'échafaudage inclus n'utilise que la bibliothèque standard Python et ne nécessite pas de dépendances supplémentaires.
Environnement
Aucune variable d'environnement requise.
Carte de référence
references/experiment-patterns.md: structure et heuristiques pour les expériences.references/tutorial-patterns.md: structure des tutoriels et déroulement pédagogique.references/notebook-structure.md: forme du JSON du notebook et règles d'édition sécurisées.references/quality-checklist.md: liste de contrôle finale de validation.
<!-- CO-OP TRANSLATOR DISCLAIMER START -->Avis de non-responsabilité : Ce document a été traduit à l'aide du service de traduction automatique Co-op Translator. Bien que nous nous efforcions d'assurer l'exactitude, veuillez noter que les traductions automatiques peuvent contenir des erreurs ou des inexactitudes. Le document original dans sa langue d'origine doit être considéré comme la source faisant foi. Pour les informations critiques, il est recommandé de recourir à une traduction professionnelle réalisée par un humain. Nous déclinons toute responsabilité en cas de malentendus ou d'interprétations erronées résultant de l'utilisation de cette traduction.
<!-- 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/fr/.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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jupyter Notebook this skillmicrosoft/ai-agents-for-beginners | 77k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Notebook For ExperimentJetBrains/intellij-community | 21k | — | ~4.4k | Automated safety check: Warn | Custom licence | |
| Jupyter To Marimoericmjl/llamabot | 183 | 2 repos | ~475 | Automated safety check: Pass | None | |
| Nbreviewawdeorio/dotfiles | 102 | — | ~2.2k | Automated safety check: Pass | None | |
| Save Research Notebooknapjon/krisk | 117 | — | ~702 | Automated safety check: Pass | BSD-3-Clause | |
| Doc Releasemindspore-ai/docs | 167 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 |
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Questions about Jupyter Notebook
What does Jupyter Notebook do?
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…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py pour générer un notebook de départ propre.
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/fr/.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/fr/.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 1.4k tokens (SKILL.md is roughly 5.7k 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 1.6k 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.