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.
A portable AI coding assistant skill for SAP AI Core and SAP AI Launchpad development on SAP Business Technology Platform (BTP). Claude-specific command metadata is packaging support only; the skill content is intended to remain useful in Codex, OpenCode, and other Markdown-capable harnesses.
| Capability | Status |
|------------|--------|
| Commands | 1: /ai-core-deployment-check |
| Agents | 0 |
| Hooks | No |
| MCP | No |
| LSP | No |
| Source Freshness | last_verified: 2026-06-12; 2026-06-16 pass corrected portability and evidence wording. |
| Verification | npm run validate; live deployment behavior and model availability remain tenant-verified only. |
This skill provides guidance for:
This skill is triggered when working with:
sap ai core, sap ai launchpad, generative ai hub, foundation models,
llm deployment, model orchestration, prompt templating, content filtering,
data masking, pii protection, vector database, document grounding, rag,
embeddings, tool calling, function calling, structured output, streaming,
azure openai sap, gpt-4 sap, claude sap, gemini sap, mistral sap,
llama sap, aws bedrock sap, google vertex ai sap, ibm granite sap,
ml operations, argo workflows, training pipeline, batch inference,
model deployment, ai api, harmonized api, orchestration api,
sap btp ai, enterprise ai, sap machine learning, ai core extended,
prompt experimentation, ai launchpad workspaces, resource groups,
configurations, executions, deployments, artifacts, scenarios,
chat conversations, messages history, git sync applications,
prompt templates, prompt optimization, ai content security,
data protection, gdpr compliance, auditing logging, kserve,
serving templates, metadata retrieval, content packages
sap-ai-core/
├── SKILL.md # Main skill file
├── README.md # This file
├── references/
│ ├── orchestration-modules.md # Detailed orchestration module docs
│ ├── generative-ai-hub.md # Generative AI Hub reference
│ ├── api-reference.md # Complete API reference
│ ├── grounding-rag.md # Grounding and RAG implementation
│ ├── ml-operations.md # ML training and operations
│ ├── model-providers.md # Model providers and configurations
│ ├── advanced-features.md # Chat, security, auditing, templates
│ └── ai-launchpad-guide.md # Complete AI Launchpad UI guide
└── templates/
├── deployment-config.json # Deployment configuration template
├── orchestration-workflow.json # Orchestration workflow template
└── tool-definition.json # Tool calling definition template
export AI_API_URL="<your-ai-api-url>"
export AUTH_TOKEN="<your-oauth-token>"
curl -X GET "$AI_API_URL/v2/lm/scenarios/foundation-models/models" \
-H "Authorization: Bearer $AUTH_TOKEN" \
-H "AI-Resource-Group: default"
Before using any model ID from examples or references, list the target tenant catalog:
curl -X GET "$AI_API_URL/v2/lm/scenarios/foundation-models/models" \
-H "Authorization: Bearer $AUTH_TOKEN" \
-H "AI-Resource-Group: default"
| Resource | URL | |----------|-----| | SAP AI Core Guide | https://help.sap.com/docs/sap-ai-core | | SAP AI Launchpad Guide | https://help.sap.com/docs/sap-ai-launchpad | | GitHub Docs Source | https://github.com/SAP-docs/sap-artificial-intelligence | | SAP Note (Models) | SAP Note 3437766 | | SAP Discovery Center | https://discovery-center.cloud.sap/serviceCatalog/sap-ai-core |
GPL-3.0
Current: 2.3.0 (2026-06-16)
2026-06-16
Next source refresh and tenant verification remain pending until SAP Help/package evidence or live tenant evidence is available.
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Start voice calls via the OpenClaw voice-call plugin.
Notion API for creating and managing pages, databases, and blocks.
Gemini CLI for one-shot Q&A, summaries, and generation.
Category:developer