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By secondsky
Automate end-to-end ML workflows by orchestrating reproducible pipelines in Airflow or Kubeflow, tracking experiments and metrics with MLflow, scheduling automated retraining, implementing MLOps, and debugging task failures or dependency issues.
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Build AutoML pipelines
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
AI/ML development: LLM architecture, prompt engineering, ML ops, and NLP with production deployment focus
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
ML engineering agents providing expertise in MLOps, model deployment, and inference optimization
This skill provides comprehensive guidance for SAP Cloud Logging service on SAP BTP. Use when setting up Cloud Logging instances, configuring log ingestion from Cloud Foundry or Kyma runtimes, implementing OpenTelemetry observability, analyzing logs/metrics/traces in OpenSearch Dashboards, configuring SAML authentication, managing certificates, or troubleshooting ingestion issues. Covers service plans (dev/standard/large), all 4 instance creation methods (BTP Cockpit, CF CLI, BTP CLI, Service Operator), all 4 ingestion methods (Cloud Foundry, Kyma, OpenTelemetry, JSON API), and security best practices.
This skill provides comprehensive guidance for SAP BTP Job Scheduling Service development, configuration, and operations. It should be used when creating, managing, or troubleshooting scheduled jobs on SAP Business Technology Platform. The skill covers service setup, REST API usage, schedule types and formats, OAuth 2.0 authentication, multitenancy, Cloud Foundry tasks, Kyma runtime integration, and monitoring with SAP Cloud ALM and Alert Notification Service. Keywords: SAP BTP, Job Scheduling, jobscheduler, cron, schedule, recurring jobs, one-time jobs, Cloud Foundry tasks, CF tasks, Kyma, OAuth 2.0, XSUAA, @sap/jobs-client, REST API, asynchronous jobs, action endpoint, run logs, SAP Cloud ALM, Alert Notification Service, multitenancy, tenant-aware, BC-CP-CF-JBS
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
Develops and administers SAP Build Work Zone, advanced edition digital workplace solutions. Use when creating workspaces, workpages, and collaborative sites, developing UI Integration Cards in SAP Business Application Studio, building content packages and workspace templates, integrating with Microsoft 365/Teams/SharePoint/Google Drive, configuring chatbots and webhooks, implementing SCIM API user provisioning, setting up OData business records, managing themes and branding, configuring role-based access and SSO, troubleshooting deployment issues, or working with the Administration Console. Keywords: SAP Build Work Zone advanced edition, digital workplace, UI Integration Cards, content packages, workspace templates, SAP Business Application Studio, SAP Conversational AI, SCIM API, OData, Microsoft Teams integration, SSO, theming, Administration Console
This skill provides comprehensive knowledge for SAP Service Manager on SAP Business Technology Platform (BTP). It should be used when managing service instances, bindings, brokers, and platforms across Cloud Foundry, Kyma, Kubernetes, and other environments. Use when provisioning services via SMCTL CLI, BTP CLI, or REST APIs, configuring OAuth2 authentication, working with the SAP BTP Service Operator in Kubernetes, troubleshooting service consumption issues, or implementing cross-environment service management. Keywords: SAP Service Manager, BTP, service instances, service bindings, SMCTL, service broker, OSBAPI, Cloud Foundry, Kyma, Kubernetes, service-manager, service-operator-access, subaccount-admin, OAuth2, X.509, service marketplace, service plans, rate limiting, cf create-service, btp create services/instance, ServiceInstance CRD, ServiceBinding CRD
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