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.