SAP HANA Cloud Data Intelligence Skill

Portable, documentation-audited skill for SAP Data Intelligence Cloud development. The last_verified date is intentionally stale until product lifecycle status and live graph/runtime behavior are checked against primary sources.

Capability Index

Capability	Status
Commands	1: `/data-intelligence-pipeline-check`
Agents	0
Hooks	No
MCP	No
LSP	No
Source Freshness	`last_verified`: 2025-11-27; product lifecycle and source refresh remain pending.
Verification	`npm run validate`; live graph/runtime checks require tenant access.

Overview

This skill enables efficient development of data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. It provides comprehensive guidance for operators, graphs, ABAP integration, replication flows, and ML workflows.

Keywords

Core Technologies

SAP Data Intelligence
SAP DI
SAP DI Cloud
Data Intelligence Cloud
SAP HANA Cloud Data Intelligence
DI Modeler
Data Intelligence Modeler

Data Processing

data pipeline
data processing graph
data transformation
data integration
ETL
ELT
data flow
data replication
data extraction
change data capture
CDC
batch processing
real-time processing
stream processing

Operators

Gen1 operators
Gen2 operators
Generation 1 operators
Generation 2 operators
Python operator
JavaScript operator
script operator
custom operator
ABAP operator
structured data operator
data transform operator
file consumer
file producer
table consumer
table producer
SQL consumer
Kafka consumer
Kafka producer

Graphs and Pipelines

graph execution
pipeline execution
graph monitoring
pipeline monitoring
graph scheduling
cron schedule
error recovery
automatic recovery
snapshot
state management
operator ports
port types
data types

ABAP Integration

ABAP integration
ABAP CDS
CDS views
ODP
Operational Data Provisioning
SLT
SAP Landscape Transformation
ABAP Pipeline Engine
S/4HANA integration
SAP BW integration
BW/4HANA
Cloud Connector
ABAP connection

Replication

replication flow
data replication
initial load
delta load
full load
UPSERT
exactly-once
at-least-once
target mapping
source artifacts

Machine Learning

ML Scenario Manager
machine learning
JupyterLab
Jupyter notebook
Python SDK
metrics tracking
Metrics Explorer
training pipeline
inference pipeline
model deployment
model versioning
experiment tracking

Subengines

subengine
Python subengine
Node.js subengine
C++ subengine
FlowAgent
ABAP subengine

Data Transformation Language

DTL
Data Transformation Language
DTL functions
string functions
numeric functions
date functions
type conversion

Structured Data

structured file consumer
structured file producer
structured SQL consumer
structured table producer
SAP application consumer
SAP application producer
Data Transform
aggregation node
join node
projection node
union node
case node

Storage and Messaging

S3
Amazon S3
Azure Blob
Azure Data Lake
ADLS
Google Cloud Storage
GCS
HDFS
Hadoop
Kafka
MQTT
NATS
SAP Event Mesh

Databases

SAP HANA
HANA Cloud
SAP BW
SQL Server
Oracle
PostgreSQL
MySQL
SAP IQ

Error Messages

port type mismatch
operator failed
graph failed
connection error
validation error
Gen1 Gen2 mixing
snapshot recovery
execution failed

Installation

Claude Code CLI

Add to your project:

# Create skills directory
mkdir -p ~/.claude/skills

# Copy skill
cp -r sap-hana-cloud-data-intelligence ~/.claude/skills/

Global Installation

Add to Claude Code configuration:

{
  "skills": [
    {
      "path": "/path/to/sap-hana-cloud-data-intelligence"
    }
  ]
}

Usage Examples

Creating a Data Pipeline

Create a SAP Data Intelligence graph that reads CSV files from S3,
transforms the data, and loads it into HANA Cloud.

ABAP Integration

Set up ABAP integration to extract data from S/4HANA CDS views
via Cloud Connector.

ML Scenario

Create an ML scenario in SAP Data Intelligence with JupyterLab
for training a classification model.

Replication Flow

Build a replication flow from SAP BW to HANA Cloud with delta loading.

Skill Contents

sap-hana-cloud-data-intelligence/
├── SKILL.md                          # Main skill file
├── README.md                         # This file
├── references/
│   ├── operators-reference.md        # Complete operator catalog
│   ├── abap-integration.md           # ABAP integration guide
│   ├── dtl-functions.md              # DTL function reference
│   ├── structured-data-operators.md  # Structured data guide
│   ├── ml-scenario-manager.md        # ML development guide
│   ├── subengines.md                 # Subengine development
│   └── graphs-pipelines.md           # Graph execution guide
└── templates/
    └── (pipeline templates)

Documentation Sources

This skill extracts information from official SAP documentation:

GitHub Repository: https://github.com/SAP-docs/sap-hana-cloud-data-intelligence
SAP Help Portal: https://help.sap.com/docs/SAP_DATA_INTELLIGENCE
SAP Developer Center: https://developers.sap.com/topics/data-intelligence.html

Documentation Sections Covered

Section	Files	Topics
ABAP Integration	19	S/4HANA, BW, Cloud Connector
Function Reference	80	DTL functions
Machine Learning	30+	ML Scenario Manager, JupyterLab
Modeling Guide	200+	Operators, graphs, workflows
Repository Objects	400+	Operators, graph templates

Total Files Analyzed: 700+

Maintenance

Updating the Skill

Check GitHub repo for updates
Update relevant reference files
Test skill discovery

Version History

1.0.0 (2025-11-22): Initial release

License

GPL-3.0 License - See LICENSE file for details.

Contributing

Contributions welcome! Please follow the skill creation guidelines in the main repository.

Related Skills

sap-cap - SAP Cloud Application Programming Model
sap-fiori-elements - SAP Fiori Elements development
sap-btp - SAP Business Technology Platform
sap-hana-db - SAP HANA database development

Last Updated: 2026-06-16 Evidence Status: Stale docs-only guidance; live graph/runtime checks require tenant access. Maintainer: Eduard Jiglau Email: hello@sap-ai-skills.com Website: https://sap-ai-skills.com Repository: https://github.com/secondsky/sap-skills

/sap-hana-cloud-data-intelligence

README.md