Official agent skill

Notebook For Experiment

by JetBrains in JetBrains/intellij-community

Create reproducible Jupyter notebooks for performance experiments.

OfficialCustom licenceAuto-check: warningsData & Analytics

Install Notebook For Experiment

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add JetBrains/intellij-community --skill notebook-for-experiment -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JetBrains/intellij-community notebook-for-experiment --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/JetBrains/intellij-community.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/notebook-for-experiment .claude/skills/notebook-for-experiment && 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
notebook-for-experiment
GitHub stars
21k
Token cost
~4.4k tokens
SKILL.md length
1,508 words
Files
4 (incl. scripts)
Skills in repo
38
Repo updated
First seen
Licence
Custom licence

At a glance

Create reproducible Jupyter notebooks for performance experiments.

  • Works in 4 steps: For a single cell — use nb.py set-cell… → For multi-cell edits — write a temporary… → After modifying experiment source files… → …
  • Tasks that involve Jupyter notebooks
  • SKILL.md covers Tooling, Cell visibility, Standard cell layout and Reproducibility, plus 8 more sections
  • Runs Python scripts from its folder; calls uv, git and curl; reaches astral.sh

What it does

Notebook For Experiment is an agent skill from JetBrains/intellij-community, published by the product's own GitHub organization. Create reproducible Jupyter notebooks for performance experiments.

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `reference/log-files.md`, `reference/machine-info.md` and `scripts/nb.py`).

It sits in Data & Analytics, covering Jupyter notebooks. It works with JetBrains IDEs, Kotlin, Jupyter and PowerShell. The repository describes itself as: IntelliJ IDEA & IntelliJ Platform.

When your agent uses it

  • Tasks that involve Jupyter notebooks

Example prompts

  • “/notebook-for-experiment”

Requirements

  • Python 3
  • Docker

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. For a single cell — use nb.py set-cell with - to read from stdin
  2. For multi-cell edits — write a temporary Python script that manipulates the JSON directly,
  3. After modifying experiment source files (Kotlin, Java, Rust, etc.) that are part
  4. Re-execute to refresh all outputs

What it can do on your machine

Read from SKILL.md and the folder at commit 562e3a2. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv
    • git
    • curl
    • sh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • astral.sh

    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

Notebook For Experiment loads about 4.4k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 1,508 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

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: warnings

The automated check found patterns that need a careful read before installing.

  • NotePipes a well-known installer script into a shellSKILL.md:18
    curl -LsSf https://astral.sh/uv/install.sh | sh
  • NotePipes a well-known installer script into a shellSKILL.md:23
    powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
  • WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:436
    ified random or session-specific factor without asking the user.

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); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,508 words (~4,382 tokens).

“uv is the recommended tool for running notebooks — it requires no global Jupyter installation, pins exact dependency versions per invocation, and keeps each invocation's environment isolated. There are no conflicts with system Python or existing virtualenvs.”

— opening of SKILL.md by JetBrains, Custom licence
name
notebook-for-experiment

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts) in .agents/skills/notebook-for-experiment of JetBrains/intellij-community.

  • SKILL.md
  • reference/log-files.md
  • reference/machine-info.md
  • scripts/nb.py

Open the folder on GitHubat commit 562e3a2

Compare with similar skills

Notebook For Experiment 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.

Notebook For Experiment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Notebook For Experiment this skillJetBrains/intellij-community21k—~4.4kAutomated safety check: WarnCustom licence
Jupyter Notebookmicrosoft/ai-agents-for-beginners77k8 repos~1kAutomated safety check: PassApache-2.0
Issues DeduplicationJetBrains/ideavim10k—~1.3kAutomated safety check: PassMIT
Jupyter To Marimoericmjl/llamabot1822 repos~475Automated safety check: PassNone
Nbreviewawdeorio/dotfiles102—~2.2kAutomated safety check: PassNone
Save Research Notebooknapjon/krisk118—~702Automated safety check: PassBSD-3-Clause

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Questions about Notebook For Experiment

What does Notebook For Experiment do?

Create reproducible Jupyter notebooks for performance experiments. Notebook For Experiment is an agent skill from JetBrains/intellij-community, published by the product's own GitHub organization. Create reproducible Jupyter notebooks for performance experiments.

When should I use Notebook For Experiment?

Notebook For Experiment fits situations like: tasks that involve Jupyter notebooks.

How do I install Notebook For Experiment in Claude Code?

Run `npx skills add JetBrains/intellij-community --skill notebook-for-experiment -a claude-code`. Or copy the skill folder (.agents/skills/notebook-for-experiment in JetBrains/intellij-community) into .claude/skills/notebook-for-experiment in your project. Claude Code loads it when a task matches its description.

How do I install Notebook For Experiment in Codex?

Run `npx skills add JetBrains/intellij-community --skill notebook-for-experiment -a codex`. Or copy the skill folder (.agents/skills/notebook-for-experiment in JetBrains/intellij-community) into .agents/skills/notebook-for-experiment in your project. Codex loads it when a task matches its description.

Can I use Notebook For Experiment 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 JetBrains/intellij-community --skill notebook-for-experiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/notebook-for-experiment, .gemini/skills/notebook-for-experiment, .github/skills/notebook-for-experiment and .opencode/skills/notebook-for-experiment in your project.

What does Notebook For Experiment need to run?

Going by SKILL.md and its folder, Notebook For Experiment needs Python for the scripts in its folder and the command-line tools its instructions call (uv, git, curl and sh). Our summary lists: Python 3; Docker.

Does Notebook For Experiment access the network?

SKILL.md names 1 domain. In commands or code: astral.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Notebook For Experiment safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Notebook For Experiment use?

Notebook For Experiment has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Notebook For Experiment use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Notebook For Experiment?

Skills that share tags, products or a category with Notebook For Experiment: Jupyter Notebook (microsoft/ai-agents-for-beginners, 77k stars), Issues Deduplication (JetBrains/ideavim, 10k stars), Jupyter To Marimo (ericmjl/llamabot, 182 stars) and Nbreview (awdeorio/dotfiles, 102 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Notebook For Experiment?

JetBrains (a GitHub organization, an official publisher) maintains it in JetBrains/intellij-community, which has 20,613 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 8, 2026.

Source: JetBrains/intellij-community on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.