domino-vibe-modeling

Bridge AI coding assistants with Domino via MCP to run jobs.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/jvdomino/domino-data-lab-plugin --skill domino-vibe-modeling
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: domino-vibe-modeling
Source: https://github.com/jvdomino/domino-data-lab-plugin/tree/main/skills/vibe-modeling
Command: npx skills add https://github.com/jvdomino/domino-data-lab-plugin --skill domino-vibe-modeling

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI coding assistants often operate in isolation from enterprise platforms, making it hard to perform code execution and experiments securely. This skill enables vibe modeling by connecting AI tooling to Domino via MCP servers, ensuring governance, auditability, and reproducibility of all AI-driven work.

Core Features & Use Cases

  • MCP-based execution of assistant commands as Domino jobs to keep code running in Domino containers
  • Guardrails through Domino's audit trails and version control for reproducible workflows
  • Compatibility with Cursor, GitHub Copilot, VSCode, and Jupyter within Domino workspaces for seamless AI-assisted development
  • Use Case: set up an experiment, run training, log results, and iterate while maintaining governance

Quick Start

Install the MCP server, configure your Domino host and API key, then connect your AI assistant (Cursor, Copilot, or VSCode) to run Domino jobs.

Frequently Asked Questions about domino-vibe-modeling

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

FAQPage Schema
How do I run Domino jobs from AI coding assistants like Cursor or VSCode?

You can execute Domino jobs from Cursor, Copilot, or VSCode by configuring an MCP server that bridges the AI assistant with Domino, routing code execution into governed, reproducible Domino containers using a valid API key and host URL.

What is vibe modeling in Domino and how does it work with AI assistants?

Vibe modeling connects AI coding assistants to Domino via MCP servers, ensuring that AI-driven code execution, experiments, and training workflows remain governed, auditable, and reproducible across enterprise projects.

Do I need an API key to use MCP servers for AI-assisted development in Domino?

Yes, configuring an MCP server for Domino requires a valid Domino API key, a Domino host URL, and standard project data paths to ensure secure, auditable execution of AI-driven workflows.

Can I use GitHub Copilot within Domino workspaces for AI-assisted development?

Yes, GitHub Copilot is compatible with Domino workspaces through MCP server configuration, allowing you to run AI-assisted development workflows while maintaining Domino's audit trails and version control for reproducibility.

How do I ensure reproducibility and governance for AI-driven experiments in Domino?

Reproducibility and governance are enforced by executing AI assistant commands as Domino jobs through MCP, leveraging Domino's built-in audit trails and version control to track all workflow iterations and results.

What are the limitations of using MCP servers for AI vibe modeling in Domino?

MCP-based vibe modeling requires a properly configured MCP server, a valid Domino API key, a host URL, and standard project data paths; without these prerequisites, secure, auditable execution of AI-driven workflows cannot proceed.