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Asmayaseen
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scaffolding-openai-agents

Scaffold OpenAI Agents SDK projects with async workflows and multi-agent orchestration.

2|Updated Dec 24, 2025
Search Tags:#tooling#multi-agent#async#guardrails#ai-agents#runner#openai-agents-sdk
One-click install
npx skills add https://github.com/Asmayaseen/hackathon-2 --skill scaffolding-openai-agents-asmayaseen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scaffolding-openai-agents
Source: https://github.com/Asmayaseen/hackathon-2/tree/main/.claude/skills/scaffolding-openai-agents
Command: npx skills add https://github.com/Asmayaseen/hackathon-2 --skill scaffolding-openai-agents-asmayaseen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps developers bootstrap production-ready AI agents using the OpenAI Agents SDK, enabling asynchronous operations and multi-agent orchestration.

Core Features & Use Cases

  • Agent and Runner scaffolding for async workflows
  • Multi-agent handoffs and routing to specialists
  • Function tools, structured outputs, and guardrails
  • Streaming responses and context-sharing patterns
  • Practical use cases including tutoring, documentation search, and code analysis

Quick Start

  • Create a sample project and install dependencies: mkdir my-agent && cd my-agent python -m venv .venv source .venv/bin/activate pip install openai-agents
  • Run a simple agent with Runner: from agents import Agent, Runner import asyncio tutor = Agent(name="Python Tutor", instructions="Help students learn Python.") result = asyncio.run(Runner.run(tutor, "Explain list comprehensions")) print(result.final_output)

Frequently Asked Questions about scaffolding-openai-agents

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

FAQPage Schema
How do I build production-ready AI agents using the OpenAI Agents SDK?▼

Build production-ready AI agents using the OpenAI Agents SDK by configuring agents with specific instructions, using Runner patterns for execution, and applying function tools and guardrails for structured outputs.

How do I set up async workflows for multi-agent orchestration in Python?▼

Set up async workflows for multi-agent orchestration by installing the openai-agents package in a Python virtual environment and executing agents asynchronously with asyncio.run alongside the Runner module.

Can I use function tools and guardrails with AI agents for structured outputs?▼

Yes, you can use function tools and guardrails with AI agents to enforce structured outputs. The scaffolding provides configuration patterns to integrate these safety and formatting mechanisms.

Does the OpenAI Agents SDK support multi-agent handoffs and routing to specialists?▼

The OpenAI Agents SDK supports multi-agent handoffs and routing to specialists. You can configure agents to transfer tasks, enabling workflows like tutoring assistants and documentation search.

What's the best way to bootstrap a Python tutoring assistant with AI agents?▼

Bootstrap a Python tutoring assistant by creating an Agent with specific instructions and using Runner to execute queries. The skill codifies this pattern with practical examples for educational contexts.

Do I need Python and the openai-agents package to stream AI agent responses?▼

Yes, you need Python and the openai-agents package to stream AI agent responses. The skill requires this environment to implement streaming outputs and context-sharing patterns effectively.

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