datarobot-predictions
SkillTools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, prediction dataset generation, and prediction explanations (SHAP/XEMP). Use when making predictions, running batch scoring, generating prediction datasets, or explaining individual p
Install
git clone https://github.com/datarobot-oss/datarobot-agent-skills.git ~/.claude/skills/datarobot-predictionsWhat is datarobot-predictions?
Tools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, prediction dataset generation, and prediction explanations (SHAP/XEMP). Use when making predictions, running batch scoring, generating prediction datasets, or explaining individual predictions from a deployment.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~82 tokens of context used while enabled, before you invoke anything
Documentation
README · ~7 min readDataRobot Predictions Skill
This skill provides comprehensive guidance for working with DataRobot predictions, including real-time predictions, batch scoring, and generating prediction datasets.
Quick Start
Most common use case: Generate predictions for a deployment
- Get deployment features:
get_deployment_features(deployment_id)to understand required columns - Generate template:
generate_prediction_data_template(deployment_id, n_rows)to create CSV structure - Make predictions: Use
deployment.predict_batch(...)(works for both single-row “real-time” and batch scoring)
Example: "Generate a prediction dataset template for deployment abc123 with 10 rows"
To also explain predictions: pass --max-explanations N to make_prediction.py (or the
max_explanations=N kwarg in code). See Prediction Explanations below.
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