Marimo Notebook

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by marimo-team · vlatest · Repository

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

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add marimo-notebook npx -- -y @trustedskills/marimo-notebook
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "marimo-notebook": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/marimo-notebook"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

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.

Tags

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Details

Version
vlatest
License
Author
marimo-team
Installs
0

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