oracle-ai-data-platform-workbench-spark-connectors

Name: oracle-ai-data-platform-workbench-spark-connectors
Author: oracle-samples

oracle-samples ★ 47

This Claude Code plugin provides 26 model-invokable skills for connecting Oracle AI Data Platform Workbench Spark notebooks to diverse data sources—Oracle databases, OCI services, multi-cloud storage (AWS S3, Azure ADLS, Snowflake), SaaS platforms (Salesforce, NetSuite), and custom REST/JDBC endpoints—each generating plain Python code that runs directly in the notebook. All connectors wrap the official AIDP aidataplatform Spark format handler or native Spark patterns (JDBC, structured streaming, object-storage URIs), requiring no additional runtime beyond the notebook environment.

Integrations DevOps free prompt pack

Install

> /plugin marketplace add oracle-samples/oracle-aidp-samples/tree/HEAD/ai/claude-code-plugins/oracle-ai-data-platform-workbench-spark-connectors

> /plugin install oracle-ai-data-platform-workbench-spark-connectors

Source: https://github.com/oracle-samples/oracle-aidp-samples/tree/HEAD/ai/claude-code-plugins/oracle-ai-data-platform-workbench-spark-connectors

What it's made of

28 skills

Commands: 0
Agents: 0
Skills: 28
MCP servers: 0
Hooks: 0

What it needs & plugs into

API keys: none
Paid services: none detected
External tools: none
Talks to: nothing external detected

Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.

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