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datarobot-model-deployment

Skill

Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations. Use when deploying models, creating or updating deployments, or configuring prediction environments.

0DevOps

Install

git clone https://github.com/datarobot-oss/datarobot-agent-skills.git ~/.claude/skills/datarobot-model-deployment

What is datarobot-model-deployment?

Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations. Use when deploying models, creating or updating deployments, or configuring prediction environments.

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

~59 tokens of context used while enabled, before you invoke anything

Documentation

README · ~4 min read

DataRobot Model Deployment Skill

This skill provides comprehensive guidance for deploying models, managing deployment configurations, and operating production deployments.

Quick Start

Most common use case: Deploy a trained model to production

  1. Get best model: Find the best model from a project (highest metric score)
  2. Create deployment: create_deployment(model_id, deployment_name) to deploy model
  3. Get endpoint: get_deployment_endpoint(deployment_id) to retrieve prediction URL

Example: "Deploy the best model from project abc123 as 'Sales Prediction v1'"

When to use this skill

Use this skill when you need to:

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