Notebook For Experiment
JetBrains/intellij-community
Create reproducible Jupyter notebooks for performance experiments.
Használható, amikor a felhasználó Jupyter notebookok (.ipynb) létrehozását, felépítését vagy szerkesztését kéri kísérletekhez, felfedezésekhez vagy oktatóanyagokhoz; részesítse előnyben a csomagolt…
$ 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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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/hu/.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.
jupyter-notebookHasználható, amikor a felhasználó Jupyter notebookok (.ipynb) létrehozását, felépítését vagy szerkesztését kéri kísérletekhez, felfedezésekhez vagy oktatóanyagokhoz; részesítse előnyben a csomagolt…
Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization. Használható, amikor a felhasználó Jupyter notebookok (.ipynb) létrehozását, felépítését vagy szerkesztését kéri kísérletekhez, felfedezésekhez vagy oktatóanyagokhoz; részesítse előnyben a csomagolt sablonokat, és futtassa a segédprogramot newnotebook.py, hogy egy tiszta kezdő notebookot generáljon.
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.
Read from SKILL.md and the folder at commit 25b7985. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Jupyter Notebook loads about 1.3k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 462 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.
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.
The full file from microsoft/ai-agents-for-beginners at commit 25b7985, republished under its MIT licence (© microsoft). 462 words, ~1,277 tokens.
.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.Hozzon létre tiszta, reprodukálható Jupyter notebookokat két fő módra:
Használja előnyben a beépített sablonokat és a segédscriptet az egységes felépítéshez és kevesebb JSON-hiba érdekében.
.ipynb jegyzetfüzetet a semmiből.experiment módot.tutorial módot.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 $CODEX_HOME/skills (default: ~/.codex/skills).
Zárja le a szándékot.
Identify the notebook kind: experiment or tutorial.
Capture the objective, audience, and what "done" looks like.
Készítse el a vázlatot a sablonból. Use the helper script to avoid hand-authoring raw notebook JSON.
uv run --python 3.12 python "$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.ipynbTöltse fel a jegyzetfüzetet kis, futtatható lépésekkel. Keep each code cell focused on one step. Add short markdown cells that explain the purpose and expected result. Avoid large, noisy outputs when a short summary works.
Alkalmazza a megfelelő mintát.
For experiments, follow references/experiment-patterns.md.
For tutorials, follow references/tutorial-patterns.md.
Szerkesszen óvatosan, amikor meglévő jegyzetfüzetekkel dolgozik.
Preserve the notebook structure; avoid reordering cells unless it improves the top-to-bottom story.
Prefer targeted edits over full rewrites.
If you must edit raw JSON, review references/notebook-structure.md first.
Érvényesítse az eredményt.
Run the notebook top-to-bottom when the environment allows.
If execution is not possible, say so explicitly and call out how to validate locally.
Use the final pass checklist in references/quality-checklist.md.
assets/experiment-template.ipynb and assets/tutorial-template.ipynb.Script path:
$JUPYTER_NOTEBOOK_CLI (installed default: $CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py)tmp/jupyter-notebook/ for intermediate files; delete when done.output/jupyter-notebook/ when working in this repo.ablation-temperature.ipynb).Prefer uv for dependency management.
Optional Python packages for local notebook execution:
uv pip install jupyterlab ipykernelA csomagolt vázoló script csak a Python standard könyvtárát használja, és nem igényel további függőségeket.
Nincsenek kötelező környezeti változók.
references/experiment-patterns.md: kísérleti szerkezet és heurisztikák.references/tutorial-patterns.md: oktatóanyag szerkezete és tanítási folyamat.references/notebook-structure.md: a jegyzetfüzet JSON alakja és a biztonságos szerkesztési szabályok.references/quality-checklist.md: végső érvényesítési ellenőrzőlista.<!-- CO-OP TRANSLATOR DISCLAIMER START -->
Felelősségkizárás: Ezt a dokumentumot a Co-op Translator mesterséges intelligencia alapú fordítószolgáltatás (https://github.com/Azure/co-op-translator) segítségével fordították le. Bár törekszünk a pontosságra, kérjük, vegye figyelembe, hogy az automatikus fordítások hibákat vagy pontatlanságokat tartalmazhatnak. Az eredeti, anyanyelvi dokumentum tekintendő a hiteles forrásnak. Fontos információk esetén javasolt hivatásos, emberi fordítást igénybe venni. Nem vállalunk felelősséget az ebből a fordításból eredő félreértésekért vagy téves értelmezésekért.
<!-- 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
SKILL.md and 6 other files (references, assets) in translations/hu/.agents/skills/jupyter-notebook of microsoft/ai-agents-for-beginners.
Open the folder on GitHubat commit 25b7985
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 | — | ~1.3k | 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 |
JetBrains/intellij-community
Create reproducible Jupyter notebooks for performance experiments.
ericmjl/llamabot
Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).
awdeorio/dotfiles
This skill should be used when the user asks to "review this notebook", "nbreview", "check my notebook", or otherwise requests a Jupyter notebook review.
napjon/krisk
Convert a completed data-analysis conversation into evidence-backed, reproducible living research through the Krisk MCP server.
mindspore-ai/docs
MindSpore 文档发布新分支时,链接更替与组件清洗技能,用于清理组件和替换链接. An agent skill from mindspore-ai/docs.
trailofbits/skills-curated
A skill your agent uses when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script…
microsoft/ai-agents-for-beginners
A skill your agent uses when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script…
microsoft/ai-agents-for-beginners
Migrate Python apps from Azure OpenAI Chat Completions to the Responses API.
microsoft/ai-agents-for-beginners
Shift Python apps dem from Azure OpenAI Chat Completions go Responses API.
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…
microsoft/ai-agents-for-beginners
Käytetään, kun käyttäjä pyytää luomaan, alustamaan tai muokkaamaan Jupyter-muistikirjoja (.ipynb) kokeita, tutkimuksia tai opetusohjelmia varten; käytä mieluummin mukana olevia mallipohjia ja…
microsoft/ai-agents-for-beginners
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…
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Categories
Használható, amikor a felhasználó Jupyter notebookok (.ipynb) létrehozását, felépítését vagy szerkesztését kéri kísérletekhez, felfedezésekhez vagy oktatóanyagokhoz; részesítse előnyben a csomagolt…. Jupyter Notebook is an agent skill from microsoft/ai-agents-for-beginners, published by the product's own GitHub organization.py, hogy egy tiszta kezdő notebookot generáljon.
Jupyter Notebook fits situations like: tasks that involve Jupyter notebooks.
Run `npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a claude-code`. Or copy the skill folder (translations/hu/.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.
Run `npx skills add microsoft/ai-agents-for-beginners --skill jupyter-notebook -a codex`. Or copy the skill folder (translations/hu/.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.
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.
Going by SKILL.md and its folder, Jupyter Notebook needs the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
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.
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.
About 1.3k tokens (SKILL.md is roughly 5.1k 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.
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.
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.