oracle-ai-agent-studio

Detect root SKILL.md files with YAML frontmatter and extract metadata.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/Suchert/oracle-ai-agent-studio-skill --skill oracle-ai-agent-studio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle-ai-agent-studio
Source: https://github.com/Suchert/oracle-ai-agent-studio-skill/tree/main
Command: npx skills add https://github.com/Suchert/oracle-ai-agent-studio-skill --skill oracle-ai-agent-studio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Guide for designing, building, deploying, testing, and managing AI agents and agent teams within Oracle AI Agent Studio for Oracle Fusion Cloud Applications. It helps users discover and reuse templates, tools, and workflows across ERP, HCM, SCM, and CX scenarios, and to connect Fusion agents with external LLMs, MCP, and A2A capabilities.

Core Features & Use Cases

Architecture and components overview (Agent Team → Agent → Topics → Instructions → Tools) Step-by-step agent creation, testing, publishing, and deployment into Fusion workflows LLM configuration options, including Oracle OCI GenAI, OpenAI, Anthropic, Google, Meta, Cohere, and xAI Access to 70+ pre-built templates via the AI Agent Studio Catalog and Marketplace MCP integration, A2A protocol support, and cross-tenancy considerations Security model, data residency, and governance guidance; observability and agent tracing Reference materials: access requirements, cross-tenancy policies, security considerations, release history

Quick Start

Open Oracle AI Agent Studio and follow the Getting Started steps to create Tools, Agents, and Agent Teams.

Frequently Asked Questions about oracle-ai-agent-studio

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design and deploy AI agents in Oracle Fusion Cloud?

To design and deploy Oracle Fusion AI agents, use Oracle AI Agent Studio to build Agent Teams, configure Topics and Instructions, attach Tools, test, and publish agents directly into Fusion workflows.

What external LLMs can I configure with Oracle Fusion AI agents?

Oracle Fusion AI agents support configuration with external LLMs including OpenAI, Anthropic, Google, Meta, Cohere, xAI, and Oracle OCI GenAI for flexible model routing across workflows.

Does Oracle AI Agent Studio support MCP and A2A protocols?

Oracle AI Agent Studio supports Model Context Protocol integration and Agent-to-Agent protocol support, enabling Fusion agents to connect with external tools and communicate across agent teams.

How do I govern security and data residency for Fusion AI agents?

Fusion AI agent governance involves configuring the security model, setting data residency policies, managing cross-tenancy access requirements, and enabling observability through agent tracing.

Are there pre-built templates for ERP, HCM, SCM, and CX agent workflows?

Yes, the AI Agent Studio Catalog and Marketplace provides 70+ pre-built templates covering ERP, HCM, SCM, and CX scenarios to accelerate agent deployment and reuse across Fusion workflows.

What is the architecture structure for building agent teams in Oracle Fusion?

Oracle Fusion agent architecture follows a hierarchy of Agent Team containing Agents, which contain Topics, Instructions, and Tools to define behavior and execute tasks within Fusion applications.