Can I use this with LangGraph or AutoGen?

Yes, Agent Spec definitions are designed to be compiled into runtime-specific code for popular frameworks like LangGraph, AutoGen, and the Oracle ADK.

What is the Oracle Open Agent Specification?

It is a framework-agnostic declarative language for defining AI agents and workflows in JSON or YAML, allowing them to be authored once and executed on multiple runtimes.

Why should I use a declarative specification for agents?

Declarative specs provide vendor independence, easier version control in Git, and the ability to reuse complex agent components across different projects regardless of the underlying framework.

Does this skill support the Model Context Protocol (MCP)?

Yes, the specification includes dedicated MCPNode types to standardize how tools and resources are provisioned to your agents from MCP servers.

Oracle Agent Spec Expert

Name: Oracle Agent Spec Expert
Author: frankxai

byfrankxai

0•

Data Science & ML

Designs framework-agnostic, portable AI agents and multi-agent workflows using Oracle's Open Agent Specification.

The Oracle Agent Spec Expert skill enables developers to architect sophisticated, declarative AI agents that remain independent of specific execution frameworks. By utilizing the Open Agent Specification (Agent Spec), you can define complex agentic behaviors, orchestration patterns, and tool integrations in a standardized JSON or YAML format. This approach allows you to author your agent logic once and deploy it across various runtimes such as LangGraph, AutoGen, or Oracle ADK, effectively solving the problem of framework fragmentation while ensuring your agent designs are version-controlled and portable.

Key Features

01Validation & Compliance: Verify specifications against the latest Open Agent Spec standards and best practices.

020 GitHub stars

03Framework Portability: Compile designs for multiple runtimes including LangGraph, AutoGen, and Oracle ADK.

04Multi-Agent Orchestration: Construct complex systems using Sequential, Parallel, and Conditional nodes.

05Standardized Tooling: Integrate MCP servers and external APIs through a unified component model.

06Declarative Agent Design: Define agent structures and behaviors using portable JSON/YAML specifications.

Use Cases

01Migrating agent logic across different execution environments without manual code rewrites.

02Architecting framework-independent research and analysis multi-agent systems.

03Standardizing enterprise AI agent deployments with versioned, declarative definitions.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add frankxai/claude-code-oracle-skills oracle-agent-spec

For use in Claude.ai and ChatGPT

Key Features

01Validation & Compliance: Verify specifications against the latest Open Agent Spec standards and best practices.

020 GitHub stars

03Framework Portability: Compile designs for multiple runtimes including LangGraph, AutoGen, and Oracle ADK.

04Multi-Agent Orchestration: Construct complex systems using Sequential, Parallel, and Conditional nodes.

05Standardized Tooling: Integrate MCP servers and external APIs through a unified component model.

06Declarative Agent Design: Define agent structures and behaviors using portable JSON/YAML specifications.

Use Cases

01Migrating agent logic across different execution environments without manual code rewrites.

02Architecting framework-independent research and analysis multi-agent systems.

03Standardizing enterprise AI agent deployments with versioned, declarative definitions.