oracle-adk

Build OCI agentic applications with Oracle ADK for multi-agent orchestration.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/oci-ai-architects/cline-oci-ai-architect-skills --skill oracle-adk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle-adk
Source: https://github.com/oci-ai-architects/cline-oci-ai-architect-skills/tree/main/skills/oracle-adk
Command: npx skills add https://github.com/oci-ai-architects/cline-oci-ai-architect-skills --skill oracle-adk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds production-grade agentic applications on OCI using Oracle's Agent Development Kit (ADK) to enable multi-agent orchestration, function tooling, and enterprise patterns.

Core Features & Use Cases

  • Multi-Turn Conversations: Enable agents to maintain context across multiple interactions within OCI GenAI Agents Service.
  • Multi-Agent Orchestration: Route tasks to specialized agents and compose results through a supervisor-agent architecture.
  • Deterministic Workflows: Define explicit, repeatable control flow with steps to ensure predictable outcomes.
  • Function Tools: Extend agents with custom tools to access external systems, databases, and APIs.
  • Architectural Patterns: Supports hierarchical orchestration, sequential pipelines, and parallel processing with OCI best practices.
  • Production Readiness: IAM authentication, regional deployment, monitoring, and security considerations for enterprise deployments.

Quick Start

Activate this skill in your Cline project by loading @skills/oracle-adk and begin building a multi-agent OCI application following the examples.

Frequently Asked Questions about oracle-adk

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

FAQPage Schema
How do I build a multi-agent application on OCI GenAI Agents Service?

You can build multi-agent applications on OCI GenAI Agents Service using the Oracle ADK to route tasks to specialized agents, compose results through a supervisor-agent architecture, and apply deterministic workflows.

What is the best way to orchestrate specialized agents for enterprise workflows?

Enterprise agent orchestration is best handled using hierarchical architectures and sequential pipelines, routing tasks to specialized agents while maintaining multi-turn conversation context across interactions.

Can I extend OCI agents with custom tools to access external APIs?

Yes, you can extend OCI agents with custom function tools to access external systems, databases, and APIs, enabling agents to execute specific operations and retrieve external data during workflows.

Does multi-agent orchestration on OCI support IAM authentication and multi-region deployment?

Multi-agent orchestration on OCI supports production readiness requirements including IAM-based security, multi-region deployment, and observability monitoring for enterprise-grade AI agent systems.

How do I implement deterministic control flows in AI agent pipelines?

Deterministic control flows in AI agent pipelines are implemented by defining explicit, repeatable steps within the orchestration architecture, ensuring predictable outcomes for sequential and parallel processing tasks.