By secondsky
Build AI-powered applications on SAP BTP using SAP AI Core, Generative AI Hub, or Orchestration Service, with support for LLM tasks, content filtering, data masking, document grounding, and LangChain/Spring AI integration.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub secondsky/sap-skills --plugin sap-cloud-sdk-aiComprehensive SAP Business Technology Platform (BTP) reference for cloud development, deployment, and operations. Use when setting up BTP accounts, working with Cloud Foundry environment, deploying to Kyma (Kubernetes, serverless), developing in ABAP environment (RAP, CDS), managing entitlements and quotas, configuring identity providers (XSUAA), using btp CLI or CF CLI, deploying multi-target applications (MTA), setting up connectivity (destinations, Cloud Connector), implementing CI/CD pipelines, extending SAP solutions, or troubleshooting BTP services. Covers all three runtime environments.
This skill provides comprehensive guidance for documenting SAP APIs following the SAP API Style Guide standards. It should be used when creating or reviewing API documentation for REST, OData, Java, JavaScript, .NET, or C/C++ APIs. The skill covers naming conventions, documentation comments, OpenAPI specifications, quality checklists, deprecation policies, and manual documentation templates. It ensures consistency with SAP API Business Hub standards and industry best practices. Keywords: SAP API, REST, OData, OpenAPI, Swagger, Javadoc, JSDoc, XML documentation, API Business Hub, API naming, API deprecation, x-sap-stateInfo, Entity Data Model, EDM, documentation tags, API quality, API templates
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 Analytics Cloud (SAC) Custom Widget development. Use when building custom visualizations, extending SAC with Web Components, or creating Widget Add-Ons. Covers JSON metadata, JavaScript Web Components, lifecycle functions, data binding with feeds, styling/builder panels, property/event/method definitions, third-party library integration, hosting, security, performance, and debugging. Includes Widget Add-On feature (QRC Q4 2023+) and templates for widgets, charts, and KPI cards.
Develops business applications on SAP Business Technology Platform (BTP) using CAP (Node.js/Java) or ABAP Cloud. Use when: building cloud applications on SAP BTP, deploying to Cloud Foundry or Kyma runtimes, integrating with SAP HANA Cloud, implementing SAP Fiori UIs, connecting to remote SAP systems, building multitenant SaaS applications, extending SAP S/4HANA or SuccessFactors, setting up CI/CD pipelines, implementing observability, or following SAP development best practices. Keywords: SAP BTP, Business Technology Platform, CAP, Cloud Application Programming Model, ABAP Cloud, Cloud Foundry, Kyma, SAP HANA Cloud, SAP Fiori, SAPUI5, CI/CD, observability, multitenant, SaaS, SAP BTP ABAP environment, SAP Business Application Studio, SAP Cloud SDK, SAP Integration Suite, SAP Event Mesh, SAP Connectivity Service, SAP Destination Service, XSUAA, OAuth, OpenID Connect, OData, CDS, Core Data Services, ABAP CDS, ABAP RESTful Application Programming Model, RAP, ABAP development, SAP BTP development
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.
MCP server for SAP Fiori development tools for Claude Code. Build and modify SAP Fiori applications with AI assistance.
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), 17 workflow skills (create-program with Phase 4/6 hardening & multi-executor split, create-object, program-to-spec, compare-programs, analyze-code/symptom/cbo-obj, package-to-process for end-to-end business-process documentation, 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.