domino-workspaces

Name: domino-workspaces
Availability: InStock
Author: Domino Data Lab

Manage Domino Data Lab workspaces for Jupyter, VS Code, and RStudio.

6|3|Updated Feb 19, 2026

Search Tags:#development environment #jupyter #workspaces #vs code #domino #rstudio

Ready to run

npx skills add https://github.com/dominodatalab/domino-claude-plugin --skill domino-workspaces-dominodatalab

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: domino-workspaces
Source: https://github.com/dominodatalab/domino-claude-plugin/tree/main/skills/workspaces
Command: npx skills add https://github.com/dominodatalab/domino-claude-plugin --skill domino-workspaces-dominodatalab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the management and configuration of interactive development environments within the Domino Data Lab platform, ensuring users can efficiently set up and utilize tools like Jupyter, VS Code, and RStudio for their data science projects.

Core Features & Use Cases

Launch & Configure Workspaces: Easily start and customize IDEs (Jupyter, VS Code, RStudio) with specific hardware, environments, and storage.
Manage Persistence & Packages: Understand how to save work and install necessary libraries for reproducible development.
Use Case: A data scientist needs to start a new project and requires a VS Code environment with specific Python packages and access to project data. This Skill guides them through launching the VS Code workspace, configuring the environment, and ensuring their data is accessible.

Quick Start

Launch a JupyterLab workspace with a small hardware tier and the default environment.

Frequently Asked Questions about domino-workspaces

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I launch a Jupyter or VS Code workspace in Domino Data Lab?▼

To launch a Domino Data Lab workspace, select your preferred IDE, such as Jupyter or VS Code, configure the hardware tier and compute environment, and start the session with your project's persistent storage volumes attached.

Can I enable SSH access to a Domino workspace for remote development?▼

Yes, you can enable SSH access when configuring your interactive Domino workspace, allowing you to connect external development tools directly to the active compute environment session.

How do I install project-specific packages in a Domino RStudio environment?▼

You install project-specific packages in a Domino RStudio environment by selecting a customized compute environment that includes the necessary libraries, ensuring reproducible development across your persistent storage volumes.

What is the best way to configure hardware tiers for Domino interactive workspaces?▼

The best way to configure hardware tiers for Domino interactive workspaces is to select the appropriate compute environment and hardware profile during the launch phase, matching resource allocations to your specific data science project requirements.

Why does my Domino development environment lose installed packages between sessions?▼

Your Domino development environment loses installed packages if they are not saved to persistent storage volumes or baked into the compute environment image, preventing reproducible development across new workspace sessions.

How do I troubleshoot IDE-related issues in Domino workspaces?▼

To troubleshoot IDE-related issues in Domino workspaces, verify your compute environment configuration, check hardware tier resource allocations, and ensure project-specific packages and persistent storage volumes are correctly mounted.