AI Core Lifecycle Management
Skills for SAP AI Core.
Verify and configure SAP AI Core credentials, retrieve auth tokens, and manage resource groups. Runs a setup health check, resolves authentication errors, and lists, creates, updates, or deletes resource groups. Use when checking whether AI Core is set up, configuring credentials, getting a Bearer token, or managing resource groups.
List and explore foundation models available in the SAP AI Core Generative AI Hub: browse providers, model names, versions, capabilities, and executable IDs, and get curl inference examples for deployed models. Use when discovering available models, finding an executable-id or model-name for deployment, or generating inference examples such as chat completions, embeddings, or image generation.
Manage the SAP AI Core Context Registry (TCR) — data destinations (HDL connections), tabular artifacts, and scenario configurations — and interactively build and send tabular prediction requests to the SAP AI Core Tabular Prediction service (sap-rpt-1-small / sap-rpt-1-large). Use when working with the context registry, TCR, HDL connections, tabular artifacts, scenario configurations, or sap-rpt tabular predictions in SAP AI Core.
Generate and deploy a pro-code AI agent using LangGraph and SAP GenAI Hub, deploy it to SAP BTP Cloud Foundry, create a Joule capability with A2A (Agent-to-Agent) action, and deploy it to Joule. Supports TypeScript (Express or CAP) and Python. Use this skill whenever the user mentions: building a custom agent for Joule, deploying an AI agent to BTP Cloud Foundry, A2A protocol integration with Joule, pro-code agent extensibility, LangGraph agent on SAP BTP, connecting an external agent to Joule, "bring your own agent" for Joule, creating a Joule capability with A2A action, CAP agent, MTA deployment, or any combination of LangGraph/A2A/Joule/BTP/Cloud Foundry/CAP in an agent development context. Also trigger when the user wants to scaffold, modify, or redeploy an existing A2A agent project.