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domino-modeling-assistant

Skill

Enable AI-assisted model development within Domino by writing needed model and training code and using MCP (Model Context Protocol) servers to execute domino jobs. AI coding assistants like Cursor and GitHub Copilot can execute commands as Domino jobs, maintaining security, governance, and reproduci

0Machine Learning

Install

git clone https://github.com/dominodatalab/domino-claude-plugin.git ~/.claude/skills/domino-modeling-assistant

What is domino-modeling-assistant?

Enable AI-assisted model development within Domino by writing needed model and training code and using MCP (Model Context Protocol) servers to execute domino jobs. AI coding assistants like Cursor and GitHub Copilot can execute commands as Domino jobs, maintaining security, governance, and reproducibility. Use when setting up AI code assistants to work with Domino, configuring MCP servers, or enabling vibe modeling workflows.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~107 tokens of context used while enabled, before you invoke anything

Documentation

README · ~4 min read

Introduction

This skill provides comprehensive knowledge for enabling modeling assistant within Domino Data Lab, allowing AI coding assistants to interact with the platform.

Vibe modeling refers to using AI code assistants to go beyond pure code generation and assist with:

  • Experiment setup and configuration
  • Data analysis and exploration
  • Model training and evaluation
  • Results interpretation

Key Components

MCP (Model Context Protocol)

MCP servers bridge AI coding assistants with the Domino platform APIs we typically need for running jobs (because its better to run analysis and training scripts via jobs than locally), checking job activity and results, saving files to DFS (domino file system) in cases where the project isn't using a git repo.

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