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, Claude, Gemini, Llama), 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.
/plugin marketplace add secondsky/sap-skills/plugin install sap-ai-core@sap-skillsInteractive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
Implementation of the Ralph Wiggum technique - continuous self-referential AI loops for interactive iterative development. Run Claude in a while-true loop with the same prompt until task completion.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Automated code review for pull requests using multiple specialized agents with confidence-based scoring