Build and operate Oracle Fusion-to-AIDP medallion pipelines, gold marts, OAC datasets, and MCP-authored workbooks.
Plugin oracle-ai-data-platform-fusion-autopilot in oracle-samples/oracle-aidp-samples. Commands read from the repo's manifest — today.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
aidp-fusion-autopilotConduct the complete Oracle Fusion to AIDP to OAC dashboard journey by composing the plugin's focused Skills and guarded CLI. Use when the user wants an analytics goal driven end to end or wants to resume a partially completed dashboard workflow.
aidp-fusion-bootstrapValidate Oracle Fusion, AIDP, IAM, catalog, and tenant-variation readiness and create or refresh the active profile. Use for bootstrap, pre-seed checks, profile pinning, or AIDPF-2010 and AIDPF-2011 variation failures.
aidp-fusion-configResolve AIDP workspace and cluster identifiers from human-friendly names and write aidp.config.yaml. Use when configuring the Fusion Autopilot, filling workspace or cluster keys, or avoiding manual identifier lookup.
aidp-fusion-incrementalRun guarded incremental Fusion refreshes with drift, watermark, plan-hash, and precondition checks. Use for daily deltas, scoped refreshes, resume requests, or incremental-run failures.
aidp-fusion-pipelineGuide Oracle Fusion ERP, HCM, or SCM ingestion into AIDP bronze, silver, and gold layers and onward to OAC analytics. Use when the user asks where to start, wants the full bundle workflow, or needs the correct focused Skill.
aidp-fusion-seedTurn a natural-language seed request into a scoped and guarded seed run with validation, bootstrap, cluster, overwrite, and resume checks. Use for first loads, selected datasets or layers, mart seeding, or seed recovery.
aidp-fusion-statusProduce a read-only Fusion-to-AIDP pipeline health and freshness report by comparing run state with live catalog materialization. Use for success, failure, stale, missing, untracked, or rerun questions.
aidp-restUse AIDP control-plane REST primitives for OCI signing, discovery, notebook upload, job dispatch, polling, output retrieval, and marker parsing. Use when another workflow must operate a live AIDP cluster through REST.
aidpf-error-triageRead and explain AIDPF error codes, tracebacks, diagnostics, run IDs, datasets, layers, and variation failures, then route to the owning recovery Skill or command. Use whenever a bundle workflow fails or the user pastes failure evidence.
fusion-drift-doctorDiagnose Fusion PVO, source-schema, bronze-fingerprint, and plan-hash drift without mutating the project, then route to refresh, overlay, reseed, or investigation. Use for AIDPF-2072, 4070, 4071, 2012, or 4040 failures.
incremental-mechanismChoose and verify the safest low-cost refresh strategy for a Fusion AIDP bronze, silver, or gold node. Use when deciding between native incremental, watermark delta, scoped recompute, or replacement behavior.
mart-authorAuthor the smallest additive content-pack overlay for a missing gold mart, silver dimension, or compatible column. Use when live AIDP gold and existing packs cannot serve a business goal and a new medallion node is required.
medallion-authorDraft a content-pack overlay that extends tenant variation candidates from bootstrap diagnostics. Use when bootstrap reports AIDPF-2010 or AIDPF-2011 and an operator-approved, backend-aware remediation is needed.
oac-dataset-advisorTranslate a dashboard request into an OAC dataset plan grounded in live AIDP gold tables and existing OAC catalog evidence. Use to select tables, columns, joins, reusable datasets, or identify a true mart gap.
oac-dataset-setupGuide the governed manual OAC AIDP connection and dataset checkpoint, then verify the result through OAC MCP. Use after dataset advice, when creating or reusing an OAC dataset, or before workbook authoring.
workbook-authoringGenerate, bind, validate, save, and preview OAC workbook JSON using deterministic templates and OAC MCP. Use when creating or updating supported OAC workbook visualizations over a verified dataset.
oac-mcp-serverruns: node ${OAC_MCP_CONNECT_PATH}
Run the full Oracle AI Data Platform (AIDP) data-engineering surface from Codex in natural language - 37 skills: discover catalog, ask in English, AI-in-SQL, optimize/time-travel, pipelines, clusters, governance, agent flows, MLOps, migration. Self-contained (OCI CLI + api_key DEFAULT profile); the AIDP MCP is an optional accelerator.
37 skills · hooks
Oracle AI Data Platform Workbench Spark connectors for Codex. Includes 27 connector skills for Oracle, OCI, SaaS, JDBC, object storage, streaming, REST, Excel, and multi-cloud data sources, including DB2 guidance. Includes Google BigQuery read-only ingestion and external-catalog guidance.
29 skills
Migrate a Snowflake database to Oracle AI Data Platform with a fixed, auditable runbook. Provisions a migration workspace and cluster, registers the Snowflake database as an EXTERNAL catalog and creates the INTERNAL target catalog, discovers the estate with an in-AIDP workflow, translates types and names into a reviewed plan, creates the target schemas and empty Delta tables on AIDP compute, and registers one copy job per schema (INSERT-SELECT, verified by row counts) for the customer to run. Inventories what is not a table or a view, security posture and table-maintenance state, and presents the data-movement options without choosing for you. Read-only against Snowflake, dry-run by default against AIDP, every create read back; teardown releases the compute or removes everything the migration created.
11 skills · 9 commands
Drive the Oracle AI Data Platform (AIDP) Databricks Migration Toolkit in natural language. Self-contained for Codex: the OpenAI-based Python migration engine ships bundled under engine/ and is staged by the SessionStart hook to ~/.aidp-migrator/engine. Teaches Codex how to plan and execute an automated end-to-end migration of Databricks (Unity Catalog / HMS) notebooks, jobs, schedules, and catalog DDL onto AIDP - Pass-1 dependency resolution plus Pass-2 cell-by-cell execute/verify/fix on a live AIDP cluster using an OpenAI model with tool use. Covers job_migrate.py orchestration, catalog migration, workflow DAG manifest building, fixup_cell rewind, pre-migration data-availability checks, write-redirect sandbox schema, and the acceptance-contract pattern for batch/streaming convergence.
16 skills · hooks
Migrate Informatica ETL onto Oracle AI Data Platform from Codex: mappings become PySpark notebooks, workflows become AIDP jobs carrying the session dependency graph, Quartz schedules and a declarable timezone, with worklets expanded. Reads IDMC/IICS cloud mapping JSON and PowerCenter 10.x repository XML; 8.x and 9.x are refused by a version gate rather than mis-migrated. The transformation compiler is deterministic and needs no model -- an OpenAI key only widens what the rules cannot reach, behind a validator and a hallucination check. Reads and writes are catalog-addressed, so no JDBC URLs or credentials appear in a generated notebook. Anything that cannot be converted faithfully becomes an explicit review item with a named reason and a rebuild path, never a silent approximation.
11 skills · hooks
Migrate a Microsoft Fabric workspace (notebooks, Warehouse T-SQL, OneLake shortcuts) to Oracle AI Data Platform: inventory, plan, translate deterministically, and verify.
1 skill · 5 commands · 1 MCP server
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Install the "AAS Data Analytics & Business Intelligence" editorial skill bundle for Claude Code.
16 skills
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
Price bonds, analyze yield curves, evaluate FX carry trades, value options, and build macro dashboards using LSEG financial data and analytics.
8 skills · 8 commands · 1 MCP server
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