DataRobot
DataRobot machine learning workflows
Skills for DataRobot model development, platform integration, and machine learning operations.
Featured skills
datarobot-agent-assist
Used when the user wants to design, build, code, simulate, or deploy an AI agent (not a predictive model) to DataRobot;...
datarobot-agent-assist-build
Used when the user wants to design, build, code, or deploy an AI agent on DataRobot; mentions agent_spec.yaml, dress...
datarobot-agent-assist-simulate
Used when the user wants to adversarially test, evaluate, or harden an implemented AI agent before deployment; mentions...
datarobot-agent-llm-selection
Used when the user wants to configure LLM integration for a DataRobot agent application.
datarobot-app-framework-cicd
Guidance for setting up CI/CD pipelines for DataRobot application templates using GitLab, GitHub Actions, and Pulumi...
datarobot-data-preparation
Tools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects.
datarobot-discover
Used when the user wants to find DataRobot capabilities — skills, MCP servers, agents, or platform resources — for a...
datarobot-external-agent-monitoring
Instrument any external or existing AI agent with OpenTelemetry to send traces, logs, and metrics to DataRobot for...
datarobot-feature-engineering
Guidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's...
datarobot-model-deployment
Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and...
datarobot-model-explainability
Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP...
datarobot-model-monitoring
Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting...
Dataslayer
Marketing data and reporting
Skills for Dataslayer marketing data integration, analysis, and reporting workflows.
David Ondrej
Agent research tools
Skills for subagents, code reviews, worktrees, handoffs, and research.
Deck
Product discovery and planning
Skills for Deck competitor analysis, customer feedback, initiative briefs, and prioritization.