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domino-vibe-modeling

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Enable AI-driven vibe modeling in Domino.

Software Engineering#workflow#governance#reproducibility#mcp-server#ai-assisted-development#domino#vibe-modeling
Authorjvdomino
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: domino-vibe-modeling
Download link: https://github.com/jvdomino/domino-data-lab-plugin/archive/main.zip#domino-vibe-modeling

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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