DataRobot

Skills

14 in the Cursor listing

• Datarobot agent assistUse when the user wants to design, build, code, simulate, or deploy an AI agent (not a predictive model) to DataRobot; mentions agent_spec.md, dr-assist, datarobot-agent-assist, dress rehearsal, swarm simulation, or the DataRobot agent template; wants to scaffold a LangGraph, Cre
• Datarobot agent llm selectionUse when the user wants to configure LLM integration for a DataRobot agent application.
• Datarobot app framework cicdGuidance for setting up CI/CD pipelines for DataRobot application templates using GitLab, GitHub Actions, and Pulumi for infrastructure as code.
• Datarobot data preparationTools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects.
• Datarobot discoverUse when the user wants to find DataRobot capabilities — skills, MCP servers, agents, or platform resources — for a task.
• Datarobot external agent monitoringInstrument any external or existing AI agent with OpenTelemetry to send traces, logs, and metrics to DataRobot for monitoring, observability, and governance.
• Datarobot feature engineeringGuidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's automated feature engineering capabilities.
• Datarobot model deploymentTools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations.
• Datarobot model explainabilityTools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics.
• Datarobot model monitoringTools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies.
• Datarobot model trainingComprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection.
• Datarobot predictionsTools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, prediction dataset generation, and prediction explanations (SHAP/XEMP).
• Datarobot setupSets up DataRobot for local development including Python SDK, dr-cli, Agent Assist, and all required dependencies.
• Datarobot workload apiUse when the user wants to create, configure, scale, debug, observe, or roll out container workloads on DataRobot's Workload API.