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aidp-cluster-ops

Skill

Manage AIDP Spark compute clusters — list, status, start/stop/restart, installed libraries (JARs/Python), provision/scale a new cluster (driver/worker shapes, autoscale, GPU/RAPIDS, AI Compute), and connect external BI tools (JDBC/ODBC). Use when the user asks about clusters, needs to start/stop com

0Hardware

Install

git clone https://github.com/oracle-samples/oracle-aidp-samples.git ~/.claude/skills/aidp-cluster-ops

What is aidp-cluster-ops?

Manage AIDP Spark compute clusters — list, status, start/stop/restart, installed libraries (JARs/Python), provision/scale a new cluster (driver/worker shapes, autoscale, GPU/RAPIDS, AI Compute), and connect external BI tools (JDBC/ODBC). Use when the user asks about clusters, needs to start/stop compute, create or scale a cluster, install libraries, set up a GPU cluster, use AI Compute for agent flows, connect Tableau/Power BI/DBeaver, or pick a cluster before running data work.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~121 tokens of context used while enabled, before you invoke anything

Documentation

README · ~5 min read

aidp-cluster-ops — cluster lifecycle & libraries

Inspect and control AIDP Spark clusters. Most data skills depend on a RUNNING cluster, so this is the common pre-step. This is a control-plane skill. No MCP and no ai-data-engineer-agent repo are required.

When to use

  • "What clusters are there / is X running?", "start/stop/restart the cluster", "what libraries are installed", "check if compute is up before running data work".

Engine — official aidp CLI (control-plane)

Preferred engine is the official Oracle aidp CLI; oci raw-request is the fallback when the CLI isn't installed. Both hit the same data-plane REST API with the same auth — see references/aidp-cli-map.md for the full command map,

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