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.