Resume an interrupted migration. The migrator caches already-migrated notebooks (in-memory + on-cluster) so subsequent runs skip them. Use when a prior aidp-migrate-job run was killed mid-flight (Ctrl-C, cluster restart, network drop) or when resuming after a manual fix to a specific dep notebook.
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…
Discover, author, deploy, and run AIDP agent flows. Use when the user wants to list/inspect agent flows, or create/update/deploy/run a flow, manage sessions/guardrails, attach compute, or attach a remote MCP server to a flow (an MCPTOOL node — AIDP's "Native MCP Client Support" LA feature, where the flow connects OUT…
Build AIDP agents in high-code Python with aidputils + LangGraph (the code-first alternative to the low-code agent-flow canvas). Use when the user wants to write an agent in Python, use LangGraph / createreactagent / StateGraph, call aidputils (OCIAIConf, AIDPToolConf, initocillm, createlanggraphtool), build a custom…
Run LLM functions inside Spark SQL on AIDP via aigenerate(). Use when the user wants to summarize/classify/extract/enrich rows with an LLM directly in SQL, generate narratives over aggregated results, or do grounded RAG-style analysis in the lakehouse. Signature is model-first; available models must be confirmed live…
Answer business questions over the AIDP lakehouse with Spark SQL. Use when the user asks a data question ("how many…", "top N…", "show me…", "trend of…", "revenue by…") or wants to run ad-hoc Spark SQL. Grounds in .aidp/catalog.md + .aidp/semantic.md and reuses validated verified queries before generating SQL, then…
Manage and search AIDP audit logs — enable/disable auditing, set retention, and query audit-log entries for a DataLake. Use when the user asks about audit logging, who did what, compliance/retention of AIDP activity, or wants to search audit events. Self-contained — official aidp audit CLI preferred, oci raw-request…
Deploy AIDP resources as a bundle — create a bundle, deploy all its assets atomically, query deployment status, and purge. Use when the user wants to promote/deploy a set of AIDP resources together, manage a deployment bundle, check bundle deployment status, or tear one down. Preview API via oci raw-request; verify…
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. Use when the user asks "what catalogs/schemas/tables exist", "describe table X", "what columns does Y have", or needs a catalog/schema/table key for…
One-time AIDP catalog discovery that writes a cached, version-controllable .aidp/catalog.md grounding file (tables, columns, FK/join hints, value dictionaries). Use when the user says "/aidp-catalog-init", asks to "map/discover my lakehouse", set up data discovery, or before answering data questions when no catalog…
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…
Manage the AIDP credential store (secrets) — list, get, create, update, delete credentials used by AIDP workflows. Use when the user wants to store/rotate a secret centrally instead of embedding it, or manage connection credentials. Primary engine is the official aidp CLI (aidp credentials …); the same Preview REST…
Run data-quality rule checks on AIDP tables — not-null, uniqueness, allowed ranges/sets, referential integrity, and freshness. Use when the user wants to validate data, check for nulls/duplicates/orphans, assert a column's domain, or gate a pipeline on quality. Expresses each rule as bounded Spark SQL and reports…
Share AIDP data via Delta Sharing — create/manage shares, add data assets, manage recipients, and grant access/permissions. Use when the user wants to share a table/schema with another team or org, set up Delta Sharing, manage recipients, or control share permissions/token expiry. Primary engine is the official aidp…
First-run setup for the self-contained AIDP plugin. Verifies the oci CLI + a DEFAULT apikey profile, installs the bundled Python deps, discovers region + DataLake OCID + workspace, then smoke-tests both engines (a control-plane GET /catalogs via oci raw-request and a trivial SELECT 1 cell via scripts/aidpsql.py). Use…
Router + setup/auth troubleshooting for Oracle AI Data Platform (AIDP) data-engineering work. Use when the user mentions AIDP and isn't sure which skill applies, asks "what can you do with AIDP", describes a task by capability, or hits an AIDP auth/workspace/cluster error. Routes to the right aidp- skill and carries…