How does it help with connectivity?

It covers over 40 connection types, providing specific setup and replication patterns for SAP S/4HANA, BW, AWS, Azure, GCP, Kafka, and more.

Can I use this for both SQL and Graphical modeling?

Absolutely. The skill provides detailed guidance for visual modeling in the Data Builder as well as advanced SQLScript for complex logic.

Does it assist with administrative tasks?

Yes, it includes comprehensive references for space management, user roles, data access controls, and Datasphere CLI automation.

Does this skill support the latest SAP Datasphere features?

Yes, it includes 2025 features such as Generic HTTP connections, REST API tasks in task chains, and SAP Business Data Cloud integration.

What is the SAP Datasphere Claude Code Skill?

It is a specialized plugin for Claude Code that provides domain-specific knowledge, implementation patterns, and best practices for developing on SAP Datasphere.

SAP Datasphere Development

Name: SAP Datasphere Development
Author: secondsky

bysecondsky

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Database Management

Streamlines SAP Datasphere development by providing expert guidance on data modeling, integration flows, and cloud-native data warehousing on SAP BTP.

About

This comprehensive skill empowers developers to architect and implement production-ready solutions on SAP Datasphere. It provides deep domain expertise for the Data Builder and Business Builder, covering everything from graphical and SQL views to complex analytic models for SAP Analytics Cloud. Whether you are configuring real-time replication flows across 40+ connection types, orchestrating task chains, or managing multi-tenant spaces via the Datasphere CLI, this skill ensures best practices are followed for data governance, security, and performance optimization on the SAP Business Technology Platform.

Key Features

Optimization strategies for Analytic Models, including measures, hierarchies, and currency conversion.
Configuration patterns for 40+ SAP and third-party connections including S/4HANA and Hyperscalers.
Expert modeling guidance for Data Builder (ETL) and Business Builder (Semantic Layer).
Implementation patterns for data access controls (DAC) and real-time replication flows.
Automated workflow support for Datasphere CLI, space management, and content transport.
11 GitHub stars

Use Cases

Creating analytics-ready semantic models and data products for the SAP Data Marketplace.
Building scalable, enterprise-grade data warehouses on SAP Business Technology Platform.
Configuring complex data integration pipelines from SAP S/4HANA, BW/4HANA, and third-party sources.

About

Key Features

Optimization strategies for Analytic Models, including measures, hierarchies, and currency conversion.
Configuration patterns for 40+ SAP and third-party connections including S/4HANA and Hyperscalers.
Expert modeling guidance for Data Builder (ETL) and Business Builder (Semantic Layer).
Implementation patterns for data access controls (DAC) and real-time replication flows.
Automated workflow support for Datasphere CLI, space management, and content transport.
11 GitHub stars

Use Cases

Creating analytics-ready semantic models and data products for the SAP Data Marketplace.
Building scalable, enterprise-grade data warehouses on SAP Business Technology Platform.
Configuring complex data integration pipelines from SAP S/4HANA, BW/4HANA, and third-party sources.