datarobot-agent-skills
Review Skills in datarobot-oss/datarobot-agent-skills, with license, maintenance context, and source paths.
- Skills
- 6
- Repository stars
- 24
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Repository
- Canonical name
- datarobot-agent-skills
- Public sources
- 1
- License context
- Apache-2.0
Source entries
Agent Skills from datarobot-agent-skills
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
datarobot-oss/datarobot-agent-skills
datarobot-app-framework-cicd
Guidance for setting up CI/CD pipelines for DataRobot application templates using GitLab, GitHub Actions, and Pulumi for infrastructure as code. Use when setting up CI/CD pipelines, configuring deployments, or managing infrastructure for DataRobot application templates.
datarobot-oss/datarobot-agent-skills
datarobot-external-agent-monitoring
Instrument any external or existing AI agent with OpenTelemetry to send traces, logs, and metrics to DataRobot for monitoring, observability, and governance. Use when the user says "add tracing/observability/monitoring to my agent", wants to instrument an existing agent project in their IDE, or wants to send agent traces, logs, or metrics to DataRobot.
datarobot-oss/datarobot-agent-skills
datarobot-model-explainability
Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics. Use when analyzing model explanations, feature impact, SHAP values, SHAP distributions, anomaly assessment, or diagnosing model behavior.
datarobot-oss/datarobot-agent-skills
datarobot-model-monitoring
Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies. Use when monitoring deployed models, tracking drift, or investigating prediction anomalies.
datarobot-oss/datarobot-agent-skills
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.
datarobot-oss/datarobot-agent-skills
datarobot-workload-api
Use when the user wants to create, configure, scale, debug, observe, or roll out container workloads on DataRobot's Workload API. Triggers include: deploying a container as a managed service, listing/starting/stopping workloads, changing replica counts or autoscaling, picking CPU/GPU compute bundles, injecting DataRobot credentials as env vars, diagnosing workloads that are stuck / errored / crash-looping (CrashLoopBackOff, ImagePullBackOff, OOMKilled, probe failures, exec format error), pulling
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