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datarobot-model-training
Cursor Skill
Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection. Use when training models, creating AutoML projects, or selecting models in DataRobot.
A collection of DataRobot agent skills for model training, deployment, predictions, monitoring, and more.
Created by DataRobotView Source
Skills10
datarobot-agent-assistUnified DataRobot agent workflow — design (agent_spec.md), optional dress-rehearsal simulation via built-in rehearsal engine, template-based coding, and deployment. Combines agent design guidance with interactive pre-code simulation (DataRobot LLM Gateway, feedback report). Use when the user wants to design, build, code, or deploy an AI agent for DataRobot, run a spec simulation before coding, mentions "agent spec", "datarobot-agent-assist", "dr-assist", "dress rehearsal", or is creating agents on DataRobot's platform.
datarobot-app-framework-cicdGuidance for setting up CI/CD pipelines for DataRobot application templates using GitLab, GitHub Actions, and Pulumi for infrastructure as code. Use when setting up CI/CD pipelines, configuring deployments, or managing infrastructure for DataRobot application templates.
datarobot-data-preparationTools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects. Use when uploading datasets, managing data, or validating data for DataRobot.
datarobot-external-agent-monitoringInstrument any external AI agent with OpenTelemetry to send traces, logs, and metrics to DataRobot for monitoring, observability, and governance. Use when adding observability to external agents or sending telemetry data to DataRobot.
datarobot-feature-engineeringGuidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's automated feature engineering capabilities. Use when working with feature engineering, feature discovery, or analyzing feature importance in DataRobot.