openai-agents-architect

Architect multi-agent systems with Context7-verified live documentation.

Updated Dec 15, 2025
One-click install
npx skills add https://github.com/HafizFasih/ai-native-book-hackathon --skill openai-agents-architect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-agents-architect
Source: https://github.com/HafizFasih/ai-native-book-hackathon/tree/main/.claude/skills/openai-agents-architect
Command: npx skills add https://github.com/HafizFasih/ai-native-book-hackathon --skill openai-agents-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a blueprint for building robust multi-agent systems using the OpenAI Agents SDK, with mandatory live documentation retrieval via Context7. It emphasizes verification against current docs before implementing Agent, Tool, and Handoff constructs.

Core Features & Use Cases

  • Live documentation-driven design: ensures every Agent, Tool, and Handoff is compliant with the latest official docs.
  • Handoff-first orchestration: models expert-agent handoffs to route tasks across specialized domains.
  • Phase-driven implementation: demonstrates transitioning from documentation lookup to production-ready integration in FastAPI contexts.

Quick Start

Validate your design by mapping a simple triage workflow to verified docs and executing a Runner-based run.

Frequently Asked Questions about openai-agents-architect

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

FAQPage Schema
How do I architect multi-agent systems with verified live documentation?

To architect multi-agent systems with verified live documentation, you enforce a documentation-first approach using live-doc validation. This ensures every Agent, Tool, and Handoff configuration is compliant with current official docs before implementation.

What is handoff-first orchestration in the OpenAI Agents SDK?

Handoff-first orchestration models expert-agent handoffs to route tasks across specialized domains. It explicitly defines handoff configurations to transition control between agents based on task requirements.

How do I transition from documentation lookup to production-ready multi-agent integration?

You transition from documentation lookup to production-ready multi-agent integration through phase-driven implementation. This process maps verified docs to constructs and executes Runner-based runs within FastAPI contexts.

Do I need live-doc validation before implementing agents and tools?

Yes, you need live-doc validation before implementing agents and tools to ensure type safety and compliance. Retrieving Context7 outputs verifies constructs against the latest official documentation prior to code execution.

Can I use FastAPI with the OpenAI Agents SDK for multi-agent workflows?

Yes, you can use FastAPI with the OpenAI Agents SDK for multi-agent workflows. The SDK demonstrates phase-driven implementation transitioning directly into production-ready integration within FastAPI contexts.

Best way to define tools and handoffs according to Context7 outputs?

The best way to define tools and handoffs according to Context7 outputs is by enforcing a documentation-first design approach. This validates configurations against retrieved live docs before executing Runner-based runs.