Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects.
/plugin marketplace add secondsky/sap-skills/plugin install sap-hana-cloud-data-intelligence@sap-skillsThis skill inherits all available tools. When active, it can use any tool Claude has access to.
README.mdreferences/abap-integration.mdreferences/additional-features.mdreferences/data-workflow.mdreferences/dtl-functions.mdreferences/graphs-pipelines.mdreferences/ml-scenario-manager.mdreferences/modeling-advanced.mdreferences/operators-reference.mdreferences/replication-flows.mdreferences/security-cdc.mdreferences/structured-data-operators.mdreferences/subengines.mdtemplates/basic-graph.jsontemplates/ml-training-pipeline.jsontemplates/replication-flow.jsonThis skill provides comprehensive guidance for developing with SAP Data Intelligence Cloud, including pipeline creation, operator development, data integration, and machine learning scenarios.
Use this skill when:
Graphs are networks of operators connected via typed input/output ports for data transfer.
Two Generations:
Critical Rule: Graphs cannot mix Gen1 and Gen2 operators - choose one generation per graph.
Gen2 Advantages:
Building blocks that process data within graphs. Each operator has:
Operator Categories:
Subengines enable operators to run on different runtimes within the same graph.
Supported Subengines:
Key Benefit: Connected operators on the same subengine run in a single OS process for optimal performance.
Trade-off: Cross-engine communication requires serialization/deserialization overhead.
1. Open SAP Data Intelligence Modeler
2. Create new graph
3. Add operators from repository
4. Connect operator ports (matching types)
5. Configure operator parameters
6. Validate graph
7. Execute and monitor
1. Create replication flow in Modeler
2. Configure source connection (ABAP, HANA, etc.)
3. Configure target (HANA Cloud, S3, Kafka, etc.)
4. Add tasks with source objects
5. Define filters and mappings
6. Validate flow
7. Deploy to tenant repository
8. Run and monitor
Delivery Guarantees:
1. Open ML Scenario Manager from launchpad
2. Create new scenario
3. Add datasets (register data sources)
4. Create Jupyter notebooks for experiments
5. Build training pipelines
6. Track metrics with Metrics Explorer
7. Version scenario for reproducibility
8. Deploy model pipeline
For integrating ABAP-based SAP systems:
Reference: See references/abap-integration.md for detailed setup.
Use structured data operators for SQL-like transformations:
Reference: See references/structured-data-operators.md for configuration.
DTL provides SQL-like functions for data processing:
Function Categories:
Reference: See references/dtl-functions.md for complete reference.
| Error | Cause | Solution |
|---|---|---|
| Port type mismatch | Incompatible data types | Use converter operator or matching types |
| Gen1/Gen2 mixing | Combined operator generations | Use single generation per graph |
| Resource exhaustion | Insufficient memory/CPU | Adjust resource requirements |
| Connection failure | Network or credentials | Verify connection settings |
| Validation errors | Invalid configuration | Review error messages, fix config |
Gen2 Graphs:
Gen1 Graphs:
For detailed information, see:
references/operators-reference.md - Complete operator catalog (266 operators)references/abap-integration.md - ABAP/S4HANA/BW integration with SAP Notesreferences/structured-data-operators.md - Structured data processingreferences/dtl-functions.md - Data Transformation Language (79 functions)references/ml-scenario-manager.md - ML Scenario Manager, SDK, artifactsreferences/subengines.md - Python, Node.js, C++ subengine developmentreferences/graphs-pipelines.md - Graph execution, snapshots, recoveryreferences/replication-flows.md - Replication flows, cloud storage, Kafkareferences/data-workflow.md - Data workflow operators, orchestrationreferences/security-cdc.md - Security, data protection, CDC methodsreferences/additional-features.md - Monitoring, cloud storage services, scenario templates, data types, Git terminalreferences/modeling-advanced.md - Graph snippets, SAP cloud apps, configuration types, 141 graph templatesStarter templates are available in templates/:
templates/basic-graph.json - Simple data processing graphtemplates/replication-flow.json - Data replication patterntemplates/ml-training-pipeline.json - ML training workflowPrimary Sources:
Section-Specific:
references/abap-integration.md - ABAP system integration guidereferences/ml-scenario-manager.md - Machine Learning scenario managerreferences/replication-flows.md - Data replication flow configurationreferences/operators-reference.md - Complete operators referencereferences/dtl-functions.md - Data Transformation Language functionsreferences/modeling-advanced.md - Advanced modeling techniquesreferences/structured-data-operators.md - Structured data operators guideThis skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.