Operate the entire Oracle AI Data Platform (AIDP) Workbench in natural language — a 37-skill agent (not a single-engine orchestrator).
Discovers your catalog into a grounding cache (FK/join hints + value dictionaries), turns plain English into accurate Spark SQL, and runs the full lakehouse SQL lifecycle (CREATE/INSERT/UPDATE/DELETE/MERGE/OPTIMIZE/VACUUM/DESCRIBE HISTORY/time-travel on the Spark/Delta lakehouse). Ingests files, profiles data and sets quality rules, authors and repairs cron
Skills 37 in the Claude listing
Aidp agent flows Discover, author, deploy, and run AIDP agent flows. Aidp agent highcode Build AIDP agents in high-code Python with aidputils + LangGraph (the code-first alternative to the low-code agent-flow canvas). Aidp ai sql Run LLM functions inside Spark SQL on AIDP via ai_generate(). Aidp analyzing data Answer business questions over the AIDP lakehouse with Spark SQL. Aidp audit Manage and search AIDP audit logs — enable/disable auditing, set retention, and query audit-log entries for a DataLake. Aidp bundle Deploy AIDP resources as a bundle — create a bundle, deploy all its assets atomically, query deployment status, and purge. Aidp catalog explore Browse the AIDP data catalog live — list catalogs, schemas, tables, and volumes, inspect a table's columns/properties, and resolve a human name to its catalog key. Aidp catalog init One-time AIDP catalog discovery that writes a cached, version-controllable .aidp/catalog.md grounding file (tables, columns, FK/join hints, value dictionaries). 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 c Aidp credentials Manage the AIDP credential store (secrets) — list, get, create, update, delete credentials used by AIDP workflows. Aidp data quality Run data-quality rule checks on AIDP tables — not-null, uniqueness, allowed ranges/sets, referential integrity, and freshness. Aidp data sharing Share AIDP data via Delta Sharing — create/manage shares, add data assets, manage recipients, and grant access/permissions. Aidp engineer bootstrap First-run setup for the self-contained AIDP plugin. Aidp engineer overview Router + setup/auth troubleshooting for Oracle AI Data Platform (AIDP) data-engineering work. Aidp federate Federate across multiple data sources in one AIDP Spark session — read from several connectors (Oracle ADB/ExaCS, Fusion, Snowflake, S3, lakehouse tables, …) and join them in a single notebook. Aidp git Operate native Git in an AIDP workspace — branches, checkout, commit/push, pull, merge, rebase, reset, diff, and conflict resolution on workspace git repositories. Aidp ingest file to table Load a data file (CSV/JSON/Parquet/etc.) into a managed AIDP Delta table. Aidp knowledge bases Build and manage AIDP Knowledge Bases for RAG — create a KB over catalog data, pick an embedding model + chunking, build an HNSW/IVF vector index, add data sources (volume/table), run ingestion jobs, Aidp migration Guide a migration of notebooks/jobs from another platform (e.g. Aidp mlops Track ML work in AIDP's MLflow-compatible MLOps — experiments, runs, metrics/params, registered models, and model versions. Aidp models catalog List the models available/installed in the AIDP DataLake and inspect their parameters, and browse the MLOps model registry. Aidp notebooks Create, edit, and execute AIDP notebooks and manage their kernel sessions. Aidp observability Surface AIDP operational state — recently accessed resources and long-running async operations (status, completion, waiting). Aidp pipelines Author, schedule, run, and monitor AIDP Jobs (task DAGs of notebooks/python with cron). Aidp profiling tables Profile an AIDP table — row count, per-column null %, distinct count, min/max/mean, and top-K values. Aidp roles access Manage AIDP roles and access — list roles, view permissions, create roles, add/remove members, and grant/revoke per-resource permissions on catalogs, schemas, tables, views, volumes, workspaces, works Aidp semantic model Maintain a semantic grounding layer (.aidp/semantic.md) for AIDP — logical entity names, SQL-defined metrics, joins with cardinality, synonyms, and value dictionaries. Aidp spark debugging Diagnose slow or failed AIDP Spark work using cluster logs, metrics, and the Spark UI REST API. Aidp spark optimization Use when a Spark job/notebook is slow, missing an SLA, spilling, OOMing, generating too many small files, or shuffling/skewing heavily; when reviewing Spark/PySpark code or a Spark UI for performance; Aidp sql ddl Write-side Spark SQL on the AIDP lakehouse — DDL (CREATE/ALTER/DROP table·view·schema), DML (INSERT/UPDATE/DELETE/MERGE upsert), and Delta maintenance (OPTIMIZE, VACUUM, time travel, RESTORE, schema e Aidp table management Control-plane lifecycle for AIDP catalog objects — create/update/delete/refresh tables, views, schemas, and catalogs, and register an EXTERNAL catalog/connection (ALH/ADW/object-storage) as a persiste Aidp tools Create and manage standalone reusable AIDP agent Tools — SQL, Prompt, RAG, HTTP, Custom, and MCP tools that can be shared across agent flows by key. Aidp user settings Manage AIDP user settings / preferences — list, get, create, update, delete a user's settings for the DataLake. Aidp verified queries Register and validate reusable question→Spark-SQL pairs in .aidp/verified-queries.md so the agent reuses trusted SQL before generating new SQL. Aidp volumes Work with AIDP volumes — list volumes, browse files inside a volume, upload/download via the PAR flow, and create directories. Aidp workspace admin Provision and inspect AIDP DataLake instances and workspaces, including private-network workspaces attached to a customer VCN/subnet. Aidp workspace files Manage files and notebooks in the AIDP workspace filesystem — list, upload, download, read, create, move, rename, delete files/folders/notebooks.