Individual skill
sap-hana-cloud-data-intelligence
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.
plugins/sap-hana-cloud-data-intelligence/skills/sap-hana-cloud-data-intelligence/SKILL.md
Source commit 652a861d3ed422b71f01c8805f9ec03b14017cd8
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 496
- Repository last updated
- Nov 4, 2026
- License
- GPL-3.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
Files and excerpt
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Browse files
README.mddoc · 7,098 bytesSKILL.mdcore · 12,667 bytesSKILL.mdcore · 12,667 bytesSKILL.mdcore · 12,667 bytesSKILL.mdcore · 12,667 bytesSKILL.mdcore · 12,667 bytesSKILL.mdcore · 12,667 bytesagents/openai.yamlasset · 297 bytesreferences/abap-integration.mddoc · 12,264 bytesreferences/additional-features.mddoc · 9,783 bytesreferences/data-workflow.mddoc · 8,983 bytesreferences/dtl-functions.mddoc · 10,658 bytesreferences/graphs-pipelines.mddoc · 10,357 bytesreferences/ml-scenario-manager.mddoc · 14,584 bytesreferences/modeling-advanced.mddoc · 13,651 bytesreferences/operators-reference.mddoc · 8,760 bytesreferences/replication-flows.mddoc · 9,768 bytesreferences/security-cdc.mddoc · 8,928 bytesreferences/structured-data-operators.mddoc · 9,758 bytesreferences/subengines.mddoc · 12,005 bytestemplates/basic-graph.jsonasset · 2,342 bytestemplates/ml-training-pipeline.jsonasset · 4,160 bytestemplates/replication-flow.jsonasset · 2,062 bytes
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