{"name":"ahmedawan-oracle-aidp-connectors","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"ahmedawan-oracle-oracle-ai-data-platform-workbench-engineer-agent-claude-code-plugins-oracle-ai-data-platform-workbench-engineer-agent","source":{"source":"github","repo":"ahmedawan-oracle/claude-code-plugins"},"description":"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 pipelines, provisions clusters (Compute/AI Compute), and debugs via the Spark UI. Governs the platform (roles + per-resource permissions, credential store, Delta Sharing, audit logs, user settings; plus native Git, bundles, and MLOps/MLflow in Preview) and ships AI — Agent Flows across 13 node types with guardrails (content moderation, prompt-attack prevention, PII detection), Knowledge Base RAG, high-code LangGraph/aidputils agents, and 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. Runs via the official Oracle aidp CLI with an oci raw-request REST fallback — under either api_key or oci-session-token auth. Additive to your Oracle stack.","version":"0.5.0","strict":true,"keywords":["oracle","aidp","data-engineering","spark","spark-sql","lakehouse","catalog","data-quality","data-profiling","pipelines","jobs","orchestration","notebooks","cluster","spark-ui","mcp","oci","session-token","credentials","delta-sharing","git","agent-flows","bundle","roles","mlops","mlflow","federation","ai-generate","migration","ddl","delta","merge","knowledge-bases","rag","langgraph","guardrails","agent-tools"],"category":"productivity"},{"name":"ahmedawan-oracle-oracle-ai-data-platform-workbench-spark-connectors-claude-code-plugins-oracle-ai-data-platform-workbench-spark-connectors","source":{"source":"github","repo":"ahmedawan-oracle/claude-code-plugins"},"description":"Oracle AI Data Platform Workbench Spark connectors for Claude Code. 23 connector skills covering every data source workbench customers commonly need: Oracle Autonomous DB family (ALH/ADW/ATP) via wallet/IAM-DB-Token/API-key, generic Oracle Database, ExaCS, Oracle PeopleSoft, Oracle Siebel, Fusion ERP REST, Fusion BICC, EPM Cloud Planning, Essbase 21c, OCI Streaming (Kafka), OCI Object Storage, Apache Iceberg, plus PostgreSQL, MySQL/HeatWave, SQL Server, Apache Hive, Salesforce, Snowflake, Azure ADLS Gen2, AWS S3, generic REST, custom JDBC, and Excel. v0.5.0 adds 5 new connectors plus pushdown.sql / catalog.id / manifest.path patterns from oracle-samples PR #46.","version":"0.5.0","strict":true,"keywords":["oracle","aidp","spark","jdbc","lakehouse","autonomous-database","atp","adw","exacs","fusion","epm","essbase","kafka","streaming","object-storage","iceberg","postgresql","mysql","sqlserver","snowflake","adls","s3","rest","connector","peoplesoft","siebel","salesforce","hive","pushdown","catalog"],"category":"deployment"},{"name":"ahmedawan-oracle-oracle-ai-data-platform-fusion-bundle-claude-code-plugins-oracle-ai-data-platform-fusion-bundle","source":{"source":"github","repo":"ahmedawan-oracle/claude-code-plugins"},"description":"Productized Fusion → Oracle AI Data Platform pipeline. Curated BICC extracts for the most-asked Fusion ERP/HCM/SCM datasets, bronze→silver→gold medallion architecture, conformed COA/calendar/org/supplier/item dimensions, ready-made AR-aging/AP-aging/GL-balance/PO-backlog/Supplier-spend gold marts, and an Oracle Analytics Cloud (OAC) workbook bundle installable via OAC REST API. End-user consumption via OAC MCP (Preview) chat in Claude/Cline/Copilot. Same pattern shown in the official Oracle blog 'Bring Fusion Data into AIDP Workbench Using BICC', productized. Additive to and complementary with Oracle's managed Fusion data offerings — never positioned as a replacement.","version":"0.1.0-alpha","strict":true,"keywords":["oracle","aidp","fusion","erp","hcm","scm","bicc","lakehouse","delta","medallion","bronze-silver-gold","oac","oracle-analytics-cloud","mcp","spark","saas-batch","data-engineering","genai","ai-agents"],"category":"deployment"}]}