Oracle Ai Developer Hub
Description
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Oracle AI Developer Hub
This repository contains technical resources to help AI Developers and Engineers build AI applications, agents, and systems using Oracle AI Database and OCI services alongside other key components of the AI/Agent stack.
What You'll Find
This repository is organized into several key areas:
📱 **Apps** (`/apps`)
Applications and reference implementations demonstrating how to build AI-powered solutions with Oracle technologies. These complete, working examples showcase end-to-end implementations of AI applications, agents, and systems that leverage Oracle AI Database and OCI services. Each application includes source code, deployment configurations, and documentation to help developers understand architectural patterns, integration approaches, and best practices for building production-grade AI solutions.
| Name | Description | Link |
|---|---|---|
| FitTracker | Gamified fitness platform built with Oracle 26ai JSON Duality Views (FastAPI + Redis), created live during a webinar. |  |
| agentic_rag | Intelligent RAG system with multi-agent Chain of Thought (CoT), PDF/Web/Repo processing, and Oracle AI Database integration |  |
| oci-generative-ai-jet-ui | Full-stack AI application with |
Related Skills
mcp-server-postgres
Read-only PostgreSQL database access.
Data mcp-server-sqlite
SQLite database interaction and querying.
Data mcp-server-google-maps
Google Maps integration for location data.
Data Bitbucket Data Center
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Data Csv Data Summarizer
Automatically analyze CSV files and generate comprehensive insights with visualizations
Data Financial Services
Reference agents, skills, and data connectors for the financial-services workflows we see most — investment ba
Data