Notebook For Experiment
JetBrains/intellij-community
Create reproducible Jupyter notebooks for performance experiments.
Gamitin kapag humihiling ang gumagamit na gumawa, mag-scaffold, o mag-edit ng mga Jupyter notebook (.ipynb) para sa mga eksperimento, eksplorasyon, o tutorial; mas piliin ang mga naka-bundle na…
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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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/tl/.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
- 612 words
- Files
- 7 (incl. references, assets)
- Skills in repo
- 123
- Repo updated
- First seen
- Licence
- MIT
At a glance
Gamitin kapag humihiling ang gumagamit na gumawa, mag-scaffold, o mag-edit ng mga Jupyter notebook (.ipynb) para sa mga eksperimento, eksplorasyon, o tutorial; mas piliin ang mga naka-bundle na…
- Works in 6 steps: I-lock ang intensyon. → Gumawa ng balangkas mula sa template. → Punuan ang notebook ng maliliit at… → …
- Tasks that involve Jupyter notebooks
- SKILL.md covers Kailan gagamitin, Puno ng desisyon, Landas ng kasanayan (itakda… and Daloy ng trabaho, 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. Gamitin kapag humihiling ang gumagamit na gumawa, mag-scaffold, o mag-edit ng mga Jupyter notebook (.ipynb) para sa mga eksperimento, eksplorasyon, o tutorial; mas piliin ang mga naka-bundle na template at patakbuhin ang helper script na newnotebook.py upang makabuo ng malinis na panimulang notebook.
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
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- I-lock ang intensyon.
- Gumawa ng balangkas mula sa template.
- Punuan ang notebook ng maliliit at maaaring patakbuhing mga hakbang.
- Gamitin ang tamang pattern.
- Mag-edit nang ligtas kapag nagtatrabaho sa umiiral na mga notebook.
- I-validate ang resulta.
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 ~3.1k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 612 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). 612 words, ~1,442 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
- Gamitin kapag humihiling ang gumagamit na gumawa, mag-scaffold, o mag-edit ng mga Jupyter notebook (`.ipynb`) para sa mga eksperimento, eksplorasyon, o tutorial; mas piliin ang mga naka-bundle na template at patakbuhin ang helper script na `new_notebook.py` upang makabuo ng malinis na panimulang notebook.
Kasanayan sa Jupyter Notebook
Gumawa ng malinis, nare-reproduce na mga Jupyter notebook para sa dalawang pangunahing modo:
- Mga eksperimento at pagsusuring eksploratoryo
- Mga tutorial at mga hakbang-hakbang na gabay na nakatuon sa pagtuturo
Mas mainam gamitin ang mga kalakip na template at ang script na tumutulong para sa magkakatugmang istruktura at mas kaunting pagkakamali sa JSON.
Kailan gagamitin
- Gumawa ng bagong
.ipynbnotebook mula sa simula. - I-convert ang magaspang na mga tala o mga script sa isang istrukturadong notebook.
- I-refactor ang umiiral na notebook upang maging mas reproducible at madaling silipin.
- Bumuo ng mga eksperimento o tutorial na babasahin o muling patatakbuhin ng ibang tao.
Puno ng desisyon
- Kung ang kahilingan ay eksploratoryo, analitikal, o pinapatakbo ng hipotesis, piliin
experiment. - Kung ang kahilingan ay instruksiyonal, hakbang-hakbang, o tiyak sa madla, piliin
tutorial. - Kung ine-edit ang umiiral na notebook, ituring ito bilang refactor: panatilihin ang layunin at pagbutihin ang istruktura.
Landas ng kasanayan (itakda nang isang beses)
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export JUPYTER_NOTEBOOK_CLI="$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py"Ang mga skill na naka-scope sa user ay ini-install sa ilalim ng $CODEX_HOME/skills (default: ~/.codex/skills).
Daloy ng trabaho
I-lock ang intensyon. Tukuyin ang uri ng notebook:
experimentotutorial. Itala ang layunin, madla, at kung ano ang itsura ng "tapos".Gumawa ng balangkas mula sa template. Gamitin ang helper script upang maiwasan ang manu-manong paglikha ng raw notebook JSON.
uv run --python 3.12 python "$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.ipynbPunuan ang notebook ng maliliit at maaaring patakbuhing mga hakbang. Panatilihin ang bawat code cell na nakatuon sa isang hakbang. Magdagdag ng maiikling markdown cell na nagpapaliwanag ng layunin at inaasahang resulta. Iwasan ang malalaki at maingay na outputs kapag sapat ang maikling buod.
Gamitin ang tamang pattern. Para sa mga eksperimento, sundin ang
references/experiment-patterns.md. Para sa mga tutorial, sundin angreferences/tutorial-patterns.md.Mag-edit nang ligtas kapag nagtatrabaho sa umiiral na mga notebook. Panatilihin ang istruktura ng notebook; iwasang i-reorder ang mga cell maliban kung pinapabuti nito ang daloy mula itaas pababa. Mas piliin ang tumpak na pag-edit kaysa sa buong muling pagsusulat. Kung kailangan mong i-edit ang raw JSON, repasuhin muna ang
references/notebook-structure.md.I-validate ang resulta. Patakbuhin ang notebook mula itaas pababa kapag pinapayagan ng kapaligiran. Kung hindi posible ang pag-e-execute, sabihin ito nang malinaw at ilahad kung paano i-validate nang lokal. Gamitin ang final pass checklist sa
references/quality-checklist.md.
Show full SKILL.md (250 more words)Show less
Mga template at helper script
- Matatagpuan ang mga template sa
assets/experiment-template.ipynbatassets/tutorial-template.ipynb. - Ina-load ng helper script ang isang template, ina-update ang title cell, at sumusulat ng notebook.
Script path:
$JUPYTER_NOTEBOOK_CLI(default na naka-install:$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)
Mga konbensyon para sa temp at output
- Gamitin ang
tmp/jupyter-notebook/para sa mga pansamantalang file; tanggalin kapag tapos. - Isulat ang mga huling artifact sa ilalim ng
output/jupyter-notebook/kapag nagtatrabaho sa repo na ito. - Gumamit ng matatag at naglalarawang mga filename (halimbawa,
ablation-temperature.ipynb).
Mga dependency (i-install lamang kapag kailangan)
Mas mainam gamitin ang uv para sa pamamahala ng dependency.
Opsyonal na mga Python package para sa lokal na pag-execute ng notebook:
uv pip install jupyterlab ipykernelAng kalakip na scaffold script ay gumagamit lamang ng Python standard library at hindi nangangailangan ng dagdag na mga dependency.
Kapaligiran
Walang kinakailangang environment variables.
Mapa ng sanggunian
references/experiment-patterns.md: istruktura ng eksperimento at heuristika.references/tutorial-patterns.md: istruktura ng tutorial at daloy ng pagtuturo.references/notebook-structure.md: hugis ng notebook JSON at mga patakarang ligtas sa pag-edit.references/quality-checklist.md: panghuling checklist para sa pag-validate.
<!-- CO-OP TRANSLATOR DISCLAIMER START -->Paunawa: Ang dokumentong ito ay isinalin gamit ang AI translation service na Co-op Translator. Bagaman nagsusumikap kami para sa katumpakan, pakitandaan na ang awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o mga di-tumpak na impormasyon. Ang orihinal na dokumento sa orihinal nitong wika ang dapat ituring na opisyal na sanggunian. Para sa mahahalagang impormasyon, inirerekomenda ang propesyonal na pagsasaling‑tao. Hindi kami mananagot para sa anumang hindi pagkakaunawaan o maling interpretasyon na magmumula sa paggamit ng pagsasaling ito.
<!-- 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/tl/.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?
Gamitin kapag humihiling ang gumagamit na gumawa, mag-scaffold, o mag-edit ng mga Jupyter notebook (.ipynb) para sa mga eksperimento, eksplorasyon, o tutorial; mas piliin ang mga naka-bundle na…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py upang makabuo ng malinis na panimulang notebook.
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/tl/.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/tl/.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 5.8k 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.