By daiiis
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 MCP-native Oracle Analytics Cloud (OAC) workbook authoring. OAC AIDP connection and dataset creation remain governed manual OAC UI steps; the legacy .bar OAC REST install path still ships for snapshot deployments. 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.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Read-only health + freshness report for the Fusion->AIDP pipeline. Answers 'did the last seed/incremental succeed?', 'what's stale or failed?', 'which marts are materialized?', 'what needs re-running?'. Cross-references fusion_bundle_state (recorded run history) with the LIVE AIDP catalog (what's actually materialized) so a 'success' row next to a missing table reads STALE, and a table with no run record reads UNTRACKED — the live table is the evidence, the state row the overlay. Use when the user asks about pipeline state/health/freshness/last-run, or before deciding what to (re)seed. Does NOT run or change anything (read-only); for running deltas use /aidp-fusion-incremental, for seeding /aidp-fusion-seed.
End-to-end conductor for the Fusion to AIDP to OAC dashboard journey. Takes one high-level goal ('I want a supplier-spend vs GL-balance dashboard from Fusion') and drives the whole chain: configure, connect OAC MCP, bootstrap, seed, advise dataset, author mart if needed, create OAC dataset, author workbook, and optionally enable end-user MCP chat by detecting current state and delegating each step to the right sibling skill/command. Auto-advances on clean steps; pauses for real decisions (destructive seed, variation freeze, OAC dataset creation, ambiguous intent, gaps). Use when the user states a dashboard/analytics goal and wants it driven start-to-finish, OR on first run after installing the plugin: 'I just installed this, what now', 'get me started', 'set me up', 'set up Fusion analytics from scratch / end to end', 'autopilot this', 'take me from nothing to a dashboard'. This is the front door for a fresh install (setup scaffolds the bundle). NOT for a single known step (call that skill directly).
Guide and run the Oracle AIDP Fusion bundle bootstrap phase. Validates bundle/config readiness, checks AIDP/Fusion/IAM prerequisites, runs `aidp-fusion-bundle bootstrap --check-iam` or `bootstrap --refresh`, surfaces tenant variation choices pinned into the active profile YAML and evidence snapshots, and routes unresolved variation failures (`AIDPF-2010` / `AIDPF-2011`) to `/medallion-author`. Use when the user says 'bootstrap', 'pin tenant variation', 'create the profile', 'run pre-seed checks', 'missing profile', 'bootstrap --refresh', or needs the setup phase before seed/incremental. NOT for seed runs, incremental refresh, OAC dataset/workbook work, or net-new mart authoring.
Productized Fusion → Oracle AI Data Platform pipeline with curated BICC extracts (GL/AR/AP/PO/Suppliers/Items), bronze/silver/gold medallion in Delta, conformed dimensions (account/calendar/org/supplier/item), gold marts (AR-Aging/AP-Aging/GL-Balance/PO-Backlog/Supplier-Spend), and MCP-native OAC workbook authoring. Use when the user wants to load Fusion ERP/HCM/SCM data into AIDP, build a CFO dashboard from Fusion, set up a Fusion-backed lakehouse, create OAC datasets/workbooks over AIDP gold, set up OAC MCP for operator authoring or natural-language Fusion analytics in Claude/Cline/Copilot, run BICC extracts incrementally, productize the Oracle blog "Bring Fusion Data into AIDP Workbench Using BICC", or extract Fusion via the saas-batch REST API. Triggers — "load Fusion into AIDP", "set up Fusion bronze layer", "build CFO dashboard from Fusion", "create OAC workbook from Fusion", "run BICC extract", "Fusion AIDP medallion", "saas-batch Fusion extract".
Generate aidp.config.yaml from human-friendly AIDP names instead of hand-copied OCIDs. Use when the user is setting up the fusion-bundle and doesn't want to dig workspaceKey / clusterKey / aiDataPlatformId out of console URLs — they give a workspace name + cluster name (+ region) and this resolves the keys via the AIDP REST API and writes the env block. Triggers — "set up aidp.config.yaml", "configure the fusion bundle connection", "I don't have the OCIDs", "fill in workspace/cluster keys", "what do I put for workspaceKey/clusterKey", "configure AIDP coords by name".
This repository is a personal development marketplace for Claude Code plugins authored by Ahmed Awan.
The directory layout mirrors the canonical Oracle home at oracle-samples/oracle-aidp-samples/ai/claude-code-plugins/ so plugins move between the two repos as a flat copy.
| Plugin | What it does | Canonical home |
|---|---|---|
oracle-ai-data-platform-workbench-engineer-agent | Natural-language agent that operates the entire AIDP Workbench — catalog discovery, Spark-SQL + full Delta DDL/DML, ingestion, profiling/quality, pipelines, clusters, Spark-UI debugging, governance (roles/credentials/Delta Sharing/MLOps/audit), and AI (Agent Flows + guardrails, Knowledge Base RAG, high-code LangGraph agents). Signature: LLM-in-SQL via ai_generate() + cross-source federation. 37 skills; api_key or session-token auth. | pending PR to oracle-samples |
oracle-ai-data-platform-workbench-spark-connectors | 18 model-invokable skills connecting Oracle AI Data Platform Workbench Spark notebooks to Oracle (ALH/ADW/ATP, ExaCS, Fusion ERP, BICC, EPM Cloud, Essbase) and external (PostgreSQL, MySQL/HeatWave, SQL Server, Snowflake, Azure ADLS Gen2, AWS S3, OCI Streaming, Object Storage, Iceberg, generic REST/JDBC, Excel) data sources. | oracle-samples/oracle-aidp-samples/ai/claude-code-plugins/oracle-ai-data-platform-workbench-spark-connectors/ |
oracle-ai-data-platform-fusion-bundle (alpha — pre-release) | Productized Fusion → AIDP pipeline. Curated BICC extracts, bronze/silver/gold medallion in Delta, conformed COA/calendar/org/supplier/item dimensions, AR/AP/GL/PO/Supplier-Spend gold marts, and OAC workbooks installed via OAC REST API (Authorization Code + PKCE). Live-validated end-to-end against saasfademo1 Fusion demo pod + an OAC instance. 118 unit tests passing. | pending PR to oracle-samples |
End users should install from Anthropic's community marketplace (sources from the canonical Oracle home):
/plugin marketplace add anthropics/claude-plugins-community
/plugin install <plugin-name>
This personal mirror is intended for pre-release / development snapshots — to install from here directly:
/plugin marketplace add ahmedawan-oracle/claude-code-plugins
/plugin install <plugin-name>@aidp-connectors
.
├── .claude-plugin/
│ └── marketplace.json ← marketplace definition; one entry per plugin
├── claude-code-plugins/
│ └── <plugin-name>/ ← plugin root (one per plugin)
│ ├── .claude-plugin/
│ │ └── plugin.json
│ ├── README.md
│ ├── CHANGELOG.md
│ ├── LICENSE
│ ├── skills/
│ ├── scripts/ (optional — Python helpers)
│ ├── examples/ (optional — runnable notebooks)
│ └── tests/ (optional — unit tests)
├── README.md ← this file
└── LICENSE ← repo-wide MIT
The marketplace.json at the root references each plugin via a relative source field pointing at its subdirectory under claude-code-plugins/.
mkdir -p claude-code-plugins/<plugin-name>/.claude-plugin/.claude-plugin/marketplace.json with "source": "./claude-code-plugins/<plugin-name>/".claude plugin validate . (in the repo root).oracle-samples/oracle-aidp-samples/ai/claude-code-plugins/<plugin-name>/ via PR for the canonical / community-marketplace home.Repo-wide MIT. Each plugin also ships its own LICENSE.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimnpx claudepluginhub daiiis/claude-code-plugins --plugin oracle-ai-data-platform-fusion-bundleOracle 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.
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.
Drive the Oracle AI Data Platform (AIDP) Databricks Migration Toolkit in natural language. Self-contained — the full Python engine (scripts/, aidp_compat/) ships bundled under engine/ and is invoked from skills via ${CLAUDE_PLUGIN_ROOT}/engine/scripts/. Teaches Claude 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 + Pass-2 cell-by-cell execute/verify/fix on a live AIDP cluster using Claude with tool use. Covers job_migrate.py orchestration, catalog migration (18 DDL rewrite rules: 3-part→2-part name flatten, s3://→oci:// via bucket-map, source-format preserved with delta.* property scrub), 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. Bundles 10 skills, 4 slash commands, 2 reviewer agents, and 4 reference docs + an env-coords template (cli-map, ddl-rewrite-rules, gotchas, job-report-format + env-coords.template.md).
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).