domino-workspaces

Automate provisioning and management of Domino Workspaces for Jupyter, JupyterLab, VS Code, and RStudio.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/jvdomino/domino-data-lab-plugin --skill domino-workspaces
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: domino-workspaces
Source: https://github.com/jvdomino/domino-data-lab-plugin/tree/main/skills/workspaces
Command: npx skills add https://github.com/jvdomino/domino-data-lab-plugin --skill domino-workspaces

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Work with Domino Workspaces - interactive development environments including Jupyter, JupyterLab, VS Code, and RStudio. Covers launching workspaces, configuring hardware tiers, environment selection, volume mounting, SSH access, and package installation. Use when setting up development environments, configuring workspace settings, or troubleshooting IDE issues.

Core Features & Use Cases

  • Launch and configure workspaces across Jupyter, JupyterLab, VS Code, and RStudio.
  • Configure hardware tiers, environments, volumes, SSH access, and package installation.
  • Launch workspaces via UI or via Python SDK; manage persistence and Git workflows; troubleshoot IDE issues.

Quick Start

Launch a new Domino workspace from the UI by choosing the IDE and hardware, or start one programmatically via the Python SDK.

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 Domino workspace with Jupyter or VS Code?

To launch a Domino workspace, use the UI to select your IDE, such as Jupyter or VS Code, and configure hardware tiers, or start one programmatically via the Python SDK to automate provisioning and speed up environment setup.

Can I configure SSH access and volume mounting for Domino workspaces?

Yes, you can configure SSH access and volume mounting when setting up Domino workspaces. The skill automates these configurations alongside hardware tier selection and environment setup to streamline interactive development environments.

What is the best way to manage persistence and Git workflows in a JupyterLab workspace?

Managing persistence and Git workflows in a JupyterLab workspace is handled through the Domino platform's built-in features. You can launch and manage these environments via the UI or Python SDK to maintain your project state and code versions.

Does this support troubleshooting IDE issues across RStudio and Jupyter?

Yes, it supports troubleshooting IDE issues across RStudio, Jupyter, JupyterLab, and VS Code. It helps configure workspace settings and resolve interactive development environment problems to speed up debugging.

How do I install packages and select hardware tiers when setting up a Domino workspace?

You can install packages and select hardware tiers during the workspace configuration phase. This is done either through the Domino UI when choosing your environment or programmatically when launching via the Python SDK.