SAP AI Skills for AI Coding Assistants

SAP AI Core is SAP's enterprise-grade service for running AI and machine learning workloads on SAP BTP. It provides infrastructure for generative AI deployments, orchestration workflows, retrieval-augmented generation (RAG) scenarios, and ML training pipelines. Through the Generative AI Hub, developers can access supported foundation models through SAP-managed APIs, subject to tenant, region, and commercial availability.

Integrating AI into SAP applications requires understanding several layers: the AI Core service itself (deployment, configuration, content filtering, data masking), the SDKs that wrap its APIs, and the orchestration service that handles templating, grounding, and tool calling. AI coding assistants without this context often hallucinate SDK methods, confuse the JavaScript and Python API surfaces, and miss the service-plan-specific limitations that affect production deployments.

The three skills in this category cover common SAP AI development tasks. The sap-ai-core skill guides deployment of generative AI models, orchestration workflows, RAG implementations, prompt registry management, and content filtering. The sap-cloud-sdk-ai skill integrates the SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications, covering chat completion, embeddings, streaming, function calling, and LangChain/Spring AI integration. The sap-cloud-sdk-ai-python skill provides the equivalent for Python, covering the sap-ai-sdk-gen library with LangChain integration, templating, and document grounding.

These skills help your AI assistant use SAP's AI services through documented SDK and service patterns instead of inventing APIs that fail at runtime.