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Marimo Notebook

Checked
marimo-team·vlatest·productivity·Apache-2.0

Marimo Notebook helps you capture fleeting thoughts and ideas instantly via voice notes, boosting productivity and creative recall.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add marimo-team/skills --skill marimo-notebook -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

marimo-team

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned marimo-team/skills at 6454470960.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6454470960
Manifest
skills/marimo-notebook/SKILL.md
Scanned
14 files, 1,196 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The marimo-notebook skill allows AI agents to execute and display interactive, executable notebooks. It enables agents to generate visualizations, run code snippets, and present data in a dynamic and user-friendly format. This facilitates complex reasoning and explanation capabilities within an agent's workflow.

When to use it

  • Data Analysis & Reporting: When an agent needs to analyze data and present findings with charts or tables.
  • Code Explanation: To provide step-by-step explanations of code logic through executable examples.
  • Interactive Demonstrations: For agents that need to demonstrate a process or concept in a hands-on, interactive way.
  • Complex Reasoning Chains: When an agent needs to show the intermediate steps and calculations involved in reaching a conclusion.

Key capabilities

  • Notebook Execution: Executes Python code within notebooks.
  • Interactive Visualization: Displays charts and other visualizations generated by notebook code.
  • Dynamic Output: Presents results in a live, interactive format.
  • Executable Examples: Allows users to run and modify the provided notebook code.

Example prompts

  • "Create a notebook that analyzes this dataset and generates a bar chart of the top 5 values."
  • "Show me a notebook demonstrating how to use the 'requests' library in Python."
  • "Generate a notebook explaining the steps involved in calculating compound interest."

Tips & gotchas

  • The agent needs access to Python libraries required by the notebook code. Ensure these dependencies are available in the execution environment.