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openai-agents

Generate semantic metadata for OpenAI Agents SDK Skill Units.

204|30|Updated Nov 8, 2025
Search Tags:#typescript#workflow#MCP#tooling#OpenAI Agents
One-click install
npx skills add https://github.com/secondsky/claude-skills --skill openai-agents-secondsky
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-agents
Source: https://github.com/secondsky/claude-skills/tree/main/plugins/openai-agents/skills/openai-agents
Command: npx skills add https://github.com/secondsky/claude-skills --skill openai-agents-secondsky

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

OpenAI Agents SDK enables building text and voice agents, multi-agent handoffs, MCP servers, and production patterns with TypeScript.

Core Features & Use Cases

  • Text/Voice Agents: Create agents with tools and prompts.
  • MCP Servers: Expose tools and resources to LLMs via MCP.
  • Handoffs & Workflows: Orchestrate subagents and tooling in complex flows.

Quick Start

Install the SDK, configure environment, and create a simple text agent with a tool.

Frequently Asked Questions about openai-agents

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

FAQPage Schema
How do I build multi-agent workflows with TypeScript?▼

Multi-agent workflows in TypeScript use the OpenAI Agents SDK to orchestrate subagents and tooling through handoffs and coordination patterns. The SDK provides agent patterns, guardrails, and streaming support to manage complex interactions across text and voice agents in production environments.

Can I create voice agents and text agents with the same SDK?▼

Yes, the OpenAI Agents SDK supports both text and voice agents with shared tooling and prompt configuration. You can build either agent type and combine them in multi-agent workflows using the same SDK and MCP server infrastructure.

What is an MCP server and how do I expose tools to LLMs?▼

An MCP server exposes tools and resources to language models through the Model Context Protocol. The OpenAI Agents SDK lets you build MCP servers to make custom tools and data sources available to agents in your workflows.

How do I handle agent handoffs and complex orchestration?▼

The OpenAI Agents SDK provides handoff patterns and streaming capabilities to route control between subagents and coordinate multi-step workflows. Built-in guardrails help manage safety and constraints during agent transitions and task execution.

Can I deploy agents to cloud and edge environments?▼

The OpenAI Agents SDK supports deployment across cloud and edge contexts with production patterns for scaling. Streaming and real-time agent support enable responsive behavior in distributed deployment scenarios.

What TypeScript setup do I need to start building agents?▼

To start with the OpenAI Agents SDK, install the package and configure your environment with API credentials. Then create a text or voice agent with tools and prompts following the SDK's quick-start patterns and examples.

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