OpenAI Agents SDK Skill

Develop multi-agent systems with the OpenAI Agents SDK in Python.

1|Updated Dec 6, 2025
One-click install
npx skills add https://github.com/subhankaladi/Spec-Driven-Development-Hackathons --skill openai-agents-sdk-skill-subhankaladi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: OpenAI Agents SDK Skill
Source: https://github.com/subhankaladi/Spec-Driven-Development-Hackathons/tree/main/Phase-IV/.claude/skills/openai-agents-sdk
Command: npx skills add https://github.com/subhankaladi/Spec-Driven-Development-Hackathons --skill openai-agents-sdk-skill-subhankaladi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the creation and orchestration of complex multi-agent AI systems, enabling sophisticated interactions and task delegation.

Core Features & Use Cases

  • Agent Orchestration: Define, configure, and coordinate multiple specialized AI agents.
  • Function Calling & Tools: Integrate Python functions as tools for agents to use.
  • Guardrails & Safety: Implement input and output validation to ensure safe and controlled agent behavior.
  • Use Case: Develop a customer support system where a triage agent routes queries to specialized agents for billing, technical support, or refunds, ensuring efficient and accurate responses.

Quick Start

Use the openai-agents skill to create a simple agent that responds to user prompts.

Frequently Asked Questions about OpenAI Agents SDK Skill

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

FAQPage Schema
How do I build a multi-agent system in Python using the OpenAI Agents SDK?

To build a multi-agent system in Python using the OpenAI Agents SDK, you define specialized agents, integrate Python functions as tools, and coordinate them through handoffs for task delegation. This enables sophisticated interactions and efficient routing of queries across agents.

What is agent orchestration and how do handoffs work for multi-agent coordination?

Agent orchestration configures and coordinates multiple specialized AI agents. Handoffs enable multi-agent coordination by allowing a primary agent to route tasks and delegate conversations to specialized agents, ensuring efficient and accurate responses for complex workloads.

How do I add Python function calling tools to an OpenAI agent?

You can add Python function calling tools to an OpenAI agent by integrating standard Python functions as callable tools. This allows the agent to execute specific operations, interact with external systems, and fetch dynamic data during conversational workflows.

Can I implement input and output guardrails for safe AI agent behavior?

Yes, you can implement input and output guardrails for safe AI agent behavior. The framework supports input and output validation mechanisms to ensure safe, controlled, and production-ready agent responses during complex conversational interactions.

Does the OpenAI Agents SDK support stateful session management for customer support?

Yes, the OpenAI Agents SDK supports stateful session management. This enables the development of production-ready AI applications like customer support systems where a triage agent routes queries to specialized agents for billing or technical support.