By secondsky
Integrate SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications to access SAP AI Core, Generative AI Hub, and Orchestration Service for LLM workflows including chat completion, embeddings, streaming, function calling, content filtering, data masking, document grounding, and LangChain/Spring AI support with models like GPT-4o, Llama, and Gemini via SAP BTP.
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npx claudepluginhub secondsky/sap-skills --plugin sap-cloud-sdk-aiThis skill provides comprehensive guidance for SAP BTP Job Scheduling Service development, configuration, and operations. It should be used when creating, managing, or troubleshooting scheduled jobs on SAP Business Technology Platform. The skill covers service setup, REST API usage, schedule types and formats, OAuth 2.0 authentication, multitenancy, Cloud Foundry tasks, Kyma runtime integration, and monitoring with SAP Cloud ALM and Alert Notification Service. Keywords: SAP BTP, Job Scheduling, jobscheduler, cron, schedule, recurring jobs, one-time jobs, Cloud Foundry tasks, CF tasks, Kyma, OAuth 2.0, XSUAA, @sap/jobs-client, REST API, asynchronous jobs, action endpoint, run logs, SAP Cloud ALM, Alert Notification Service, multitenancy, tenant-aware, BC-CP-CF-JBS
Production-ready SAP BTP best practices for enterprise architecture, account management, security, and operations. Use when planning BTP implementations, setting up account hierarchies, configuring environments, implementing authentication, designing CI/CD pipelines, establishing governance, building Platform Engineering teams, implementing failover strategies, or managing application lifecycle on SAP BTP. Keywords: SAP BTP, account hierarchy, global account, directory, subaccount, Cloud Foundry, Kyma, ABAP, SAP Identity Authentication, CI/CD, governance, Platform Engineering, failover, multi-region, SAP BTP best practices
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.
SAP BTP Cloud Integration Automation Service (CIAS) skill for guided integration workflows. Use when: setting up CIAS subscriptions, configuring destinations, assigning roles (CIASIntegrationAdministrator, CIASIntegrationExpert, CIASIntegrationMonitor), planning integration scenarios, working with My Inbox tasks, monitoring scenario execution, troubleshooting CIAS errors, creating OAuth2 instances, configuring identity providers for CIAS, understanding CIAS security architecture, or integrating SAP products (S/4HANA, SuccessFactors, BTP services, SAP Build, IBP).
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
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.
Full SAP toolkit for building, deploying, and connecting AI agents to SAP Joule via the A2A protocol (v0.3.0) on BTP Cloud Foundry. Supports TypeScript (Express or CAP) and Python agents with LangGraph, SAP GenAI Hub, and automated Joule capability deployment.
SAP ABAP development for Claude Code: bundles the ARC-1 MCP server (read/write/search/activate/lint/diagnose ABAP via the ADT REST API) with best-practice skills for RAP services, CDS modelling, ABAP Unit tests, clean-core audits, and UI5 modernization. Read-only by default; opt-in write gates.
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
Claude Code plugin for SAP ABAP development — 25 specialized agents (10 core + BC + 14 module consultants), 16 workflow skills (create-program with Phase 4/6 hardening & multi-executor split, create-object, program-to-spec, compare-programs, analyze-code/symptom/cbo-obj, ask-consultant, deep-interview, team, release, setup/mcp-setup, sap-option/sap-doctor, internal trust-session), 4-Tier context loading (Tier 1 safety baseline + Tier 2 role-mandatory + Tier 3 triggered + Tier 4 per-task kit), Sonnet/Opus/Haiku model routing, OK_CODE binding pattern for Procedural screens, paradigm-split Clean ABAP, 4 RFC backends (soap/native/gateway/odata), SPRO config for 14 modules.
Use this agent when you need to design and implement complex external enterprise system integrations for B2B applications. This agent specializes in connecting your platform with Salesforce, HubSpot, Microsoft 365, Google Workspace, SAP, Oracle ERP, and other critical third-party business software. Handles external API orchestration, data synchronization with enterprise systems, webhook management for third-party services, and enterprise-grade integration patterns. Examples: