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aidp-jdbc-custom

Skill

Connect to ANY database that has a JDBC driver from an AIDP notebook using Spark's native `format("jdbc")`. Use when the user mentions a DB without a dedicated AIDP connector — SQLite, ClickHouse, DuckDB, generic JDBC URL — or wants to use a custom JDBC driver they uploaded. Auth is driver-specific.

0Databases

Install

git clone https://github.com/oracle-samples/oracle-aidp-samples.git ~/.claude/skills/aidp-jdbc-custom

What is aidp-jdbc-custom?

Connect to ANY database that has a JDBC driver from an AIDP notebook using Spark's native `format("jdbc")`. Use when the user mentions a DB without a dedicated AIDP connector — SQLite, ClickHouse, DuckDB, generic JDBC URL — or wants to use a custom JDBC driver they uploaded. Auth is driver-specific.

What this can do

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

Run shell commands

Declares Bash

Create and modify files

Declares Write or Edit

~75 tokens of context used while enabled, before you invoke anything

All declared tools (4)
BashEditReadWrite

Documentation

README · ~2 min read

aidp-jdbc-custom — Generic JDBC escape hatch

The catch-all skill for any DB with a JDBC driver. Skips the AIDP aidataplatform format and uses native Spark JDBC. Useful for DBs like SQLite, ClickHouse, DuckDB, IBM DB2, SAP HANA, or any niche driver the user has uploaded.

When to use

  • The DB doesn't have a dedicated aidp-* skill in this plugin.
  • User has a .jar JDBC driver they want to use.
  • Mentioned: "custom JDBC", "JDBC driver", "any JDBC".

When NOT to use

  • For Postgres / MySQL / SQL Server / Oracle → use the dedicated skill. The aidataplatform format gives the connector pushdown and connection pooling that this skill doesn't.
  • For Snowflake → aidp-snowflake. The Spark connector is much better than raw JDBC.

Two ways to load a non-bundled JDBC driver

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