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oracle ai data platform workbench engineer agent — Agent Skill

by oracle-samples · Updated

Oracle AI Data Platform (AIDP) Workbench engineer agent for Claude Code — a 37-skill agent that operates the full Spark/Delta lakehouse in natural language. Discovers your catalog into a grounding cache, turns plain English into accurate Spark SQL, and runs the lifecycle (CREATE/INSERT/UPDATE/DELETE/MERGE, OPTIMIZE/VA…

At a glance

oracle-ai-data-platform-workbench-engineer-agent is an Agent Skill by oracle-samples in the Data & Analysis category. In Claude Code it installs with `/plugin install oracle-ai-data-platform-workbench-engineer-agent@claude-plugins-official` after adding the anthropics/claude-plugins-official marketplace; other assistants use its SKILL.md instructions as rules. Its source repository has 57 GitHub stars (as of Oct 28, 2026).

Source 57GitHub stars

How to install oracle ai data platform workbench engineer agent in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install oracle ai data platform workbench engineer agent in Claude CodeAnthropic's agentic CLI

  1. Add the marketplace

    claude
    /plugin marketplace add anthropics/claude-plugins-official
  2. Install the skill

    claude
    /plugin install oracle-ai-data-platform-workbench-engineer-agent@claude-plugins-official
  3. Use it

    These are slash commands for a Claude Code session, not your shell. Claude auto-invokes the skill when your request matches its description — or type its slash command if it exposes one.

Documentation

Full README

Oracle AI Data Platform — Workbench Engineer Agent

Run your entire AI data platform in English — one agent for the whole Oracle AI Data Platform Workbench: discover, query, build, govern, and ship guarded AI, all in natural language.

Canonical home: `oracle-samples/oracle-aidp-samples/ai/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent`. End users install via Anthropic's community marketplace (see Install), which sources from this canonical Oracle-org location.

Operate the entire Oracle AI Data Platform (AIDP) Workbench in natural language — a 37-skill agent (not a single-engine orchestrator). It discovers your catalog into a grounding cache (FK/join hints + per-column value dictionaries), turns plain English into accurate Apache Spark SQL, runs the full lakehouse SQL lifecycle (CREATE/INSERT/UPDATE/DELETE/MERGE/OPTIMIZE/VACUUM/DESCRIBE HISTORY/time-travel), ingests files, profiles data and sets quality rules, authors and repairs cron pipelines, provisions clusters (Compute/AI Compute), and debugs jobs through the Spark UI — then keeps going where orchestrators stop: governing the platform (roles + per-resource permissions, credential store, Delta Sharing, audit logs, MLOps/MLflow) and shipping AI (Agent Flows across 13 node types with guardrails, Knowledge Base RAG, high-code LangGraph/aidputils agents, reusable Tools). A semantic model + verified-query repository are matched before free generation for accuracy. Signature differentiators: LLM-in-SQL via ai_generate('openai.gpt-5.4', '<prompt>'), and cross-source federation in one Spark session.

Engine precedence (see references/aidp-cli-map.md): control-plane operations prefer the official AIDP CLI when installed and fall back to oci raw-request against the same AIDP REST API; interactive Spark-SQL / notebook cells run via the bundled scripts/aidp_sql.py helper.

Status: v0.5.0 — 37 skills across the AIDP data-engineering lifecycle (api_key or session-token auth). Endpoint + verification log: references/rest-endpoint-map.md; change history: CHANGELOG.

Additive to your Oracle stack — complementary to Oracle FDI / OAC / OTBI / BIP, not a replacement.

What it does

37 skills across the AIDP data-engineering lifecycle (each maps to an official AIDP CLI command group — see references/aidp-cli-map.md):

| Area | Skills | |---|---| | Foundation & setup | aidp-engineer-overview (router), aidp-engineer-bootstrap, aidp-workspace-admin, aidp-catalog-init | | Discovery & analysis | aidp-analyzing-data, aidp-catalog-explore | | Quality & observability | aidp-profiling-tables, aidp-data-quality, aidp-observability | | Ingestion, tables & SQL | aidp-ingest-file-to-table, aidp-sql-ddl (DDL/DML + Delta maintenance), aidp-table-management (catalog/schema/table/view lifecycle + external catalogs), aidp-workspace-files, aidp-volumes | | Pipelines & orchestration | aidp-pipelines, aidp-notebooks | | Debugging & compute | aidp-cluster-ops, aidp-spark-debugging, aidp-spark-optimization | | Reliability & semantics | aidp-semantic-model, aidp-verified-queries | | Signature differentiators | aidp-federate, aidp-ai-sql | | Agentic & AI | aidp-agent-flows (+ all 13 node types, guardrails), aidp-agent-highcode (LangGraph/aidputils), aidp-tools (reusable tools), aidp-knowledge-bases (RAG) | | Governance | aidp-credentials, aidp-data-sharing, aidp-git, aidp-bundle, aidp-roles-access (+ per-resource permissions, masking), aidp-mlops, aidp-models-catalog, aidp-audit, aidp-user-settings | | Migration | aidp-migration |


Install

Prerequisites (3) — no MCP required: 1. The `oci` CLI configured with a **DEFAULT profile — either an api_key profile *or* an oci session authenticate session-token profile (both are first-class). The one profile signs `oci raw-request` control-plane calls and drives `scripts/aidp_sql.py`: an api_key profile mints a short-lived UPST for the Spark WebSocket; a session-token profile reuses its token directly (no mint). `aidp_sql.py --session-profile` can still override the WebSocket token explicitly. 2. Python 3.x — the helper deps (`oci`, `requests`, `websocket-client`, `cryptography`; no `aidp_agent`) are checked on your first session by the bundled SessionStart hook, which prints the `pip install` command if any is missing (set `AIDP_PLUGIN_AUTOINSTALL=1` to let the hook run it). Install from the plugin dir (`claude plugin list` → `python -m pip install -r scripts/requirements.txt`, path relative to the plugin root, not your cwd). 3. That's it. There is no AIDP MCP to install or register.** An MCP is an optional accelerator only.

From Anthropic's community plugin marketplace (recommended — sources from the canonical Oracle-org home):

Excerpt — the full document is on GitHub.

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