A 37-skill plugin agent for Claude Code that operates an Oracle AIDP Workbench Spark/Delta lakehouse, converting natural language into Spark SQL and running the table lifecycle.

How does it produce accurate SQL?

It discovers your catalog into a grounding cache, so plain English requests are translated into Spark SQL with knowledge of your actual tables.

Which operations does it support?

It runs the lakehouse lifecycle: CREATE, INSERT, UPDATE, and DELETE operations on Spark/Delta tables.

Do I need to write Spark SQL myself?

No. The agent turns plain English requests into accurate Spark SQL for you.

oracle-ai-data-platform-workbench-engineer-agent

PackDatabases & data

oracle-ai-data-platform-workbench-engineer-agent is a plugin for Claude Code: a 37-skill agent that operates an Oracle AI Data Platform (AIDP) Workbench Spark/Delta lakehouse in natural language. It discovers your catalog into a grounding cache, turns plain English into accurate Spark SQL, and runs the table lifecycle including CREATE, INSERT, UPDATE, and DELETE operations.

Unavailable. Delivery for this kind is on the roadmap — not serving yet.

Have access to an Oracle AI Data Platform (AIDP) Workbench environment with a Spark/Delta lakehouse.

What your AI can do with it

Discovers the lakehouse catalog into a grounding cache for accurate context
Turns plain English requests into Spark SQL
Creates tables in the Spark/Delta lakehouse
Inserts data into lakehouse tables
Updates existing lakehouse tables
Deletes data as part of the table lifecycle

Getting started

Have access to an Oracle AI Data Platform (AIDP) Workbench environment with a Spark/Delta lakehouse.
Install the plugin in Claude Code.
Let the agent discover your catalog so it builds a grounding cache of your tables.
Issue natural language requests to create, insert, update, or delete data in the lakehouse.

Signals

GitHub stars: 37k
Forks: 4k
Last commit: Sep 2026

Questions

What is this agent?: A 37-skill plugin agent for Claude Code that operates an Oracle AIDP Workbench Spark/Delta lakehouse, converting natural language into Spark SQL and running the table lifecycle.
How does it produce accurate SQL?: It discovers your catalog into a grounding cache, so plain English requests are translated into Spark SQL with knowledge of your actual tables.
Which operations does it support?: It runs the lakehouse lifecycle: CREATE, INSERT, UPDATE, and DELETE operations on Spark/Delta tables.
Do I need to write Spark SQL myself?: No. The agent turns plain English requests into accurate Spark SQL for you.

Advanced

Item type: plugin
Key: anthropics-claude-plugins-official-oracle-ai-data-pl-0iotw2k
Source: github.com/anthropics/claude-plugins-official

github.com/anthropics/claude-plugins-official