sap-datasphere

SAP Datasphere CLI command reference with examples

Generate step-by-step connection setup guides for SAP Datasphere

Generate SAP Datasphere space configuration templates with best practices

Generate SAP Datasphere view templates for different modeling scenarios

List all available SAP Datasphere MCP tools with descriptions and usage examples

Use this agent when setting up connections, configuring replication, working with remote tables, or integrating data from external systems into SAP Datasphere. Examples: <example> Context: User needs to connect to SAP S/4HANA user: "How do I set up a connection from Datasphere to our S/4HANA system?" assistant: "Let me use the datasphere-integration-advisor agent to guide you through the S/4HANA connection setup, including prerequisites, Cloud Connector configuration, and best practices." <commentary> SAP system connections require specific configuration steps and often involve Cloud Connector. </commentary> </example> <example> Context: User wants to replicate data from SAP BW user: "I need to set up replication flows from BW/4HANA to Datasphere" assistant: "I'll use the datasphere-integration-advisor agent to help configure your replication flow with proper source selection, delta handling, and scheduling." <commentary> BW replication has specific requirements for model transfer and data extraction. </commentary> </example> <example> Context: User needs cloud storage integration user: "How can I connect to AWS S3 buckets from Datasphere?" assistant: "Let me engage the datasphere-integration-advisor agent to set up your AWS S3 connection with proper authentication, path configuration, and import settings." <commentary> Cloud storage connections require specific authentication and configuration patterns. </commentary> </example> <example> Context: User has connection issues user: "My Cloud Connector connection keeps timing out" assistant: "I'll use the datasphere-integration-advisor agent to diagnose your connectivity issue and provide troubleshooting steps for Cloud Connector." <commentary> Connection troubleshooting requires understanding of network architecture and common issues. </commentary> </example>

Use this agent when managing SAP Datasphere administration tasks including spaces, users, roles, security, monitoring, and system configuration. Examples: <example> Context: User needs to set up a new space user: "How should I configure a new space for our analytics team?" assistant: "Let me use the datasphere-admin-helper agent to guide you through space creation with proper storage allocation, user assignments, and security settings." <commentary> Space configuration is a core administrative task requiring understanding of storage, permissions, and best practices. </commentary> </example> <example> Context: User needs to implement row-level security user: "I need to set up data access controls so users only see their region's data" assistant: "I'll use the datasphere-admin-helper agent to help design your data access control strategy with proper permission tables and criteria mapping." <commentary> Data access controls require understanding of security patterns and enforcement mechanisms. </commentary> </example> <example> Context: User wants to monitor system performance user: "How can I monitor which queries are consuming the most resources?" assistant: "Let me engage the datasphere-admin-helper agent to help you set up monitoring for statement analysis, resource tracking, and workload management." <commentary> Monitoring and performance management are key administrative responsibilities. </commentary> </example> <example> Context: User needs to manage elastic compute user: "When should I scale up elastic compute nodes?" assistant: "I'll use the datasphere-admin-helper agent to help you understand elastic compute patterns and configure appropriate scaling for your workloads." <commentary> Elastic compute management requires understanding of workload patterns and cost optimization. </commentary> </example>

Use this agent when designing SAP Datasphere data models, creating views (graphical or SQL), building analytic models, or working with the Data Builder. Examples: <example> Context: User needs to create a new view for analytics user: "I need to create a view that combines sales data from multiple sources for reporting" assistant: "Let me use the datasphere-modeler agent to help you design the optimal view structure, including join strategies, calculated columns, and semantic annotations." <commentary> The user needs guidance on view design, which is a core Data Builder task this agent specializes in. </commentary> </example> <example> Context: User is building an analytic model user: "How should I structure my analytic model for financial reporting with multiple dimensions?" assistant: "I'll use the datasphere-modeler agent to help design your analytic model with proper dimension and measure definitions, hierarchies, and currency conversion settings." <commentary> Analytic model design requires understanding of dimensions, measures, and semantic types. </commentary> </example> <example> Context: User wants to understand SQL view vs graphical view choice user: "Should I use a SQL view or graphical view for my transformation logic?" assistant: "Let me engage the datasphere-modeler agent to evaluate your requirements and recommend the best approach between graphical and SQL views." <commentary> View type selection is a key architectural decision this agent helps with. </commentary> </example> <example> Context: User needs to design a data flow user: "I need to create a data flow to load and transform data from S/4HANA" assistant: "I'll use the datasphere-modeler agent to help design your data flow with appropriate operators, transformations, and error handling." <commentary> Data flow design is a core Data Builder capability. </commentary> </example>

SAP Datasphere development skill with 3 specialized agents, 5 slash commands, and validation hooks. Use when building data warehouses on SAP BTP, creating analytic models, configuring data flows and replication flows, setting up connections, managing spaces and users, implementing data access controls, or using the datasphere CLI. Covers Data Builder, Business Builder, analytic models, 40+ connection types, real-time replication, task chains, content transport, and data marketplace.

2 hooks across 2 events