What kinds of ML tasks can the agent handle?

Model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.

Does it require a DataRobot account?

The skills work with DataRobot, so access to DataRobot is needed to use them.

datarobot-agent-skills

PackCloud & infra

datarobot-agent-skills is a plugin that gives an AI agent a set of DataRobot skills for AI/ML workflows. It lets the agent train machine learning models, deploy them, run predictions, and monitor their performance, along with related tasks like feature engineering, explainability, and data preparation.

Unavailable. Delivery for this kind is on the roadmap — not serving yet.

Have access to DataRobot and an agent setup that supports plugins.

What your AI can do with it

Train machine learning models through DataRobot
Deploy trained models and run predictions
Perform feature engineering and data preparation
Monitor model performance and external agent monitoring
Generate explainability output for models
Support App Framework CI/CD workflows

Getting started

Have access to DataRobot and an agent setup that supports plugins.
Add the datarobot-agent-skills plugin to the agent.
Configure any required DataRobot connection details.
Ask the agent to perform an ML task, such as training or deploying a model.

Signals

GitHub stars: 37k
Forks: 4k
Last commit: Sep 2026

Questions

What kinds of ML tasks can the agent handle?: Model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.
Does it require a DataRobot account?: The skills work with DataRobot, so access to DataRobot is needed to use them.

Advanced

Item type: plugin
Key: anthropics-claude-plugins-official-datarobot-agent-skills
Source: github.com/anthropics/claude-plugins-official

github.com/anthropics/claude-plugins-official