datarobot-oss/datarobot-agent-skills
14 skills · 27 total installs
$npx skills add datarobot-oss/datarobot-agent-skillsSkillInstalls
datarobot-workload-apiUse when the user wants to create, configure, scale, debug, observe, or roll out container workloads on DataRobot's Workload API.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-data-preparationTools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects.datarobot-model-deploymentTools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations.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…datarobot-setupSets up DataRobot for local development including Python SDK, dr-cli, Agent Assist, and all required dependencies.datarobot-discoverUse when the user wants to find DataRobot capabilities — skills, MCP servers, agents, or platform resources — for a task.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-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-explainabilityTools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model…progressive-disclosureRefactor large DataRobot skill files by moving detailed content into directly linked reference files while preserving meaning.