sap-sac-scripting

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

SAP Analytics Cloud (SAC) Custom Widget development. Use when building custom visualizations, extending SAC with Web Components, or creating Widget Add-Ons. Covers JSON metadata, JavaScript Web Components, lifecycle functions, data binding with feeds, styling/builder panels, property/event/method definitions, third-party library integration, hosting, security, performance, and debugging. Includes Widget Add-On feature (QRC Q4 2023+) and templates for widgets, charts, and KPI cards.

Develops SAP Fiori applications using SAP Fiori tools extensions for VS Code and SAP Business Application Studio. Use when: generating Fiori Elements or Freestyle SAPUI5 applications, configuring Page Editor for List Report or Object Page, working with annotations and Service Modeler, setting up deployment to ABAP or Cloud Foundry, creating adaptation projects, using Guided Development, previewing with mock data or live data, configuring SAP Fiori launchpad, or using AI-powered generation with Project Accelerator/Joule. Technologies: SAP Fiori Elements, SAPUI5, OData V2/V4, CAP, SAP BTP, ABAP, Cloud Foundry, fiori-mcp-server (MCP tools for AI-assisted generation).

Configures and integrates SAP Master Data Integration (MDI) service on SAP Business Technology Platform. Use when setting up MDI tenants, connecting applications (S/4HANA, SuccessFactors, Ariba, Fieldglass, etc.), configuring distribution models, SOAP APIs for business partners, extensibility, or troubleshooting master data replication. Covers One Domain Model integration, Business Data Orchestration, client authentication (OAuth2, mTLS), and security configurations.

Comprehensive ABAP development skill for SAP systems. Use when writing ABAP code, working with internal tables, structures, ABAP SQL, object-oriented programming, RAP (RESTful Application Programming Model), CDS views, EML statements, ABAP Cloud development, string processing, dynamic programming, RTTI/RTTC, field symbols, data references, exception handling, or ABAP unit testing. Covers both classic ABAP and modern ABAP for Cloud Development patterns.

Develops business applications on SAP Business Technology Platform (BTP) using CAP (Node.js/Java) or ABAP Cloud. Use when: building cloud applications on SAP BTP, deploying to Cloud Foundry or Kyma runtimes, integrating with SAP HANA Cloud, implementing SAP Fiori UIs, connecting to remote SAP systems, building multitenant SaaS applications, extending SAP S/4HANA or SuccessFactors, setting up CI/CD pipelines, implementing observability, or following SAP development best practices. Keywords: SAP BTP, Business Technology Platform, CAP, Cloud Application Programming Model, ABAP Cloud, Cloud Foundry, Kyma, SAP HANA Cloud, SAP Fiori, SAPUI5, CI/CD, observability, multitenant, SaaS, SAP BTP ABAP environment, SAP Business Application Studio, SAP Cloud SDK, SAP Integration Suite, SAP Event Mesh, SAP Connectivity Service, SAP Destination Service, XSUAA, OAuth, OpenID Connect, OData, CDS, Core Data Services, ABAP CDS, ABAP RESTful Application Programming Model, RAP, ABAP development, SAP BTP development

Marketplace

Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Llama, Gemini, Mistral), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.

Comprehensive SAP ABAP CDS (Core Data Services) reference for data modeling, view development, and semantic enrichment. Use when creating CDS views or view entities, defining data models with annotations, working with associations and cardinality, implementing input parameters, using built-in functions, writing CASE expressions, implementing access control with DCL, handling CURR/QUAN data types, troubleshooting CDS errors, querying CDS views from ABAP, or displaying data with SALV IDA. Covers ABAP 7.4+ through ABAP Cloud.

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