Oracle AI Data Platform Workbench Spark Connectors plugin: what it installs and how to add it
Adds Spark connector guidance for Oracle AI Data Platform Workbench notebooks and Oracle, cloud, SaaS, database, and storage sources.
From the Marketplace: claude-plugins-official marketplace
Install
> /plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-plugins-officialRun it inside Claude Code. The official marketplace is already known, so there is nothing to add first.
What is inside
- 28skills
About this plugin
This plugin provides skills that generate plain Python for Oracle AI Data Platform Workbench Spark notebooks. It covers the AIDP format handler alongside Spark JDBC, structured streaming, object-storage paths, Iceberg, and REST-to-DataFrame patterns for Oracle, OCI, SaaS, Hadoop, multi-cloud, and external database sources.
Use it when building notebook connections to systems such as Autonomous Database, Fusion, EPM Cloud, Essbase, OCI Streaming, Object Storage, PostgreSQL, Snowflake, DB2, Salesforce, or Excel. You need access credentials and any required connectivity for the selected source; the generated code runs in the notebook without an additional runtime.
What's inside
- 28 skills: connector overview and bootstrap, plus skills for ALH, AWS S3, Azure ADLS, Azure SQL, DB2, EPM Cloud, Essbase, Exadata Cloud Service, Excel, Fusion BICC, Fusion REST, Hive, Iceberg, custom JDBC, MySQL, NetSuite, OCI Object Storage, Oracle Database, PeopleSoft, PostgreSQL, generic REST, Salesforce, Siebel, Snowflake, SQL Server, and OCI Streaming Kafka
- 0 slash commands, 0 agents, 0 hooks, and 0 MCP servers
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Skills, not plugins
Prefer a single skill for development work? 471 skills in the same category, each installed on its own.