Reactive Python notebook system. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

Custom licenceAuto-check passedData & Analytics

Install Marimo

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill marimo -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills marimo --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/marimo .claude/skills/marimo && 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
marimo
GitHub stars
4.5k
Token cost
~2.8k tokens
SKILL.md length
870 words
Files
9 (incl. references)
Skills in repo
369
Repo updated
First seen
Licence
Custom licence

At a glance

Reactive Python notebook system. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

  • Works in 4 steps: New to marimo? Start with quickstart.md… → Data analysis workflows? Read… → Building features? Read the relevant… → …
  • Assembling Stage 9 notebooks
  • SKILL.md covers What is Marimo?, How to Use This Skill, Related Skills and CRITICAL: Stage 9 is Script…, plus 4 more sections
  • Calls python

What it does

Marimo is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Reactive Python notebook system. Cell reactivity, UI elements (sliders, dropdowns, tables), SQL cells, plotting, app deployment. Use when assembling Stage 9 notebooks, building data apps, or converting Jupyter to marimo .py format.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/apps-deployment.md`, `references/gotchas.md` and `references/outputs-layouts.md`).

It sits in Data & Analytics, covering Jupyter notebooks. It works with marimo, Python, SQL and Jupyter. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Assembling Stage 9 notebooks
  • Building data apps
  • Converting Jupyter to marimo .py format

Example prompts

  • “/marimo”

Requirements

  • Python 3
  • Docker

Workflow steps

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

  1. New to marimo? Start with quickstart.md then reactivity.md
  2. Data analysis workflows? Read validation-patterns.md (REQUIRED for rigorous analysis)
  3. Building features? Read the relevant topic file
  4. Having issues? Check gotchas.md first

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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:

    • python

    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):

    • marimo.io

    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

Marimo loads about 2.8k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 870 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~16k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 870 words (~2,775 tokens).

“marimo reactive Python notebook system for reproducible and interactive data work. Covers cell reactivity model, UI elements (sliders, dropdowns, tables, forms), SQL cells, DataFrame display, plotting integration, validation patterns for data pipelines, and deployment as apps, scripts, or WASM. Use…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
marimo
metadata.audience
research-coders
metadata.domain
python-library
metadata.library-version
0.19.x
metadata.skill-last-updated
2026-03-28

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/marimo of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/apps-deployment.md
  • references/gotchas.md
  • references/outputs-layouts.md
  • references/quickstart.md
  • references/reactivity.md
  • references/sql-data.md
  • references/ui-elements.md
  • references/validation-patterns.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Marimo 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.

Marimo compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Marimo this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.8kAutomated safety check: PassCustom licence
Marimo Notebookminicoohei/ai-agent-camp347—~1.5kAutomated safety check: PassNone
Marimo Developmentaiskillstore/marketplace430—~1.5kAutomated safety check: PassNone
Wasm Compatibilityericmjl/llamabot1822 repos~1.6kAutomated safety check: PassNone
Marimo Paircosanlab/nltools1311 repos~3kAutomated safety check: PassMIT
Marimo Notebookcosanlab/nltools1314 repos~2.1kAutomated safety check: PassMIT

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Questions about Marimo

What does Marimo do?

Reactive Python notebook system. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Marimo is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Reactive Python notebook system.

When should I use Marimo?

Marimo fits situations like: assembling Stage 9 notebooks; building data apps; converting Jupyter to marimo .py format.

How do I install Marimo in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill marimo -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/marimo in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/marimo in your project. Claude Code loads it when a task matches its description.

How do I install Marimo in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill marimo -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/marimo in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/marimo in your project. Codex loads it when a task matches its description.

Can I use Marimo 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill marimo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/marimo, .gemini/skills/marimo, .github/skills/marimo and .opencode/skills/marimo in your project.

What does Marimo need to run?

Going by SKILL.md and its folder, Marimo needs the command-line tools its instructions call (python). Our summary lists: Python 3; Docker.

Does Marimo access the network?

SKILL.md names 1 domain. As links in the text: marimo.io. This is read from the text; nothing was executed.

Is Marimo 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 Marimo use?

Marimo 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 Marimo use?

About 2.8k tokens (SKILL.md is roughly 11k 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 13k tokens, read only when the agent opens those files.

What are the alternatives to Marimo?

Skills that share tags, products or a category with Marimo: Marimo Notebook (minicoohei/ai-agent-camp, 347 stars), Marimo Development (aiskillstore/marketplace, 430 stars), Wasm Compatibility (ericmjl/llamabot, 182 stars) and Marimo Pair (cosanlab/nltools, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Marimo?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,517 GitHub stars. The repository holds 369 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.