datarobot-skills

{
  "name": "datarobot-skills",
  "version": "1.30.0",
  "description": "DataRobot Skills for AI/ML workflows including model training, deployment, predictions, feature engineering, monitoring, data preparation, and Workload API management",
  "author": "DataRobot",
  "skills": [
    {
      "name": "datarobot-model-training",
      "description": "Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection",
      "path": "skills/datarobot-model-training/SKILL.md"
    },
    {
      "name": "datarobot-model-deployment",
      "description": "Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations",
      "path": "skills/datarobot-model-deployment/SKILL.md"
    },
    {
      "name": "datarobot-predictions",
      "description": "Tools and guidance for making predictions with DataRobot models, including real-time predictions, batch scoring, and prediction dataset generation",
      "path": "skills/datarobot-predictions/SKILL.md"
    },
    {
      "name": "datarobot-feature-engineering",
      "description": "Guidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's automated feature engineering capabilities",
      "path": "skills/datarobot-feature-engineering/SKILL.md"
    },
    {
      "name": "datarobot-model-monitoring",
      "description": "Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies",
      "path": "skills/datarobot-model-monitoring/SKILL.md"
    },
    {
      "name": "datarobot-data-preparation",
      "description": "Tools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects",
      "path": "skills/datarobot-data-preparation/SKILL.md"
    },
    {
      "name": "datarobot-model-explainability",