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OpenAI Agents SDK Skill

Create and orchestrate multi-agent systems with the OpenAI Agents SDK.

Updated Feb 7, 2026
Search Tags:#llm#sdk#ai agents#orchestration#multi-agent systems#conversational ai
One-click install
npx skills add https://github.com/Muskan492/Phase-III --skill openai-agents-sdk-skill-muskan492
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: OpenAI Agents SDK Skill
Source: https://github.com/Muskan492/Phase-III/tree/main/.claude/skills/openai-agents-sdk
Command: npx skills add https://github.com/Muskan492/Phase-III --skill openai-agents-sdk-skill-muskan492

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies the creation and orchestration of complex multi-agent systems, enabling sophisticated AI workflows and stateful conversations.

Core Features & Use Cases

  • Agent Creation: Define specialized agents with custom instructions, models, and tools.
  • Orchestration: Coordinate multiple agents, manage handoffs, and implement complex workflows.
  • Guardrails: Implement input and output validation for safety and control.
  • Use Case: Build 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 multi-agent systems for routing customer support queries?▼

You orchestrate multi-agent systems by creating specialized agents and configuring handoffs, allowing a triage agent to route queries to specialized agents for accurate responses.

What are agent handoffs and how do they work in AI orchestration?▼

Agent handoffs in AI orchestration allow a primary agent to transfer a conversation to a specialized agent, enabling complex workflows and efficient query resolution across multi-agent systems.

How do I implement input and output guardrails for conversational AI?▼

Implement guardrails for conversational AI by configuring input and output validation within your agent definitions, ensuring safety and control over agent responses.

Can I manage stateful conversations and session history with the OpenAI Agents SDK?▼

Yes, you can manage stateful conversations using the session management features, maintaining context and history across multi-turn interactions within your AI applications.

Does this framework support function calling and tool integration for custom workflows?▼

Yes, the framework supports function calling and tool integration, allowing you to define specialized agents with custom tools to execute complex AI workflows and applications.

What is the best way to trace agent execution and workflows in multi-agent applications?▼

Trace agent execution by utilizing the built-in tracing capabilities, which monitor agent orchestration and tool integration to provide visibility into complex multi-agent workflows.

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