Skill Detail

Study customer-service triage and handoff patterns with the OpenAI CS agents demo

Use OpenAI's customer-service agents demo as a reference workflow for triage, specialist handoffs, guardrails, and support-case orchestration before building a production support agent.

Templates & WorkflowsChatGPT Agents
Templates & Workflows ChatGPT Agents Security Reviewed
⭐ 6.3k GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill study-customer-service-triage-and-handoff-patterns-with-the-openai-cs-agents-demo Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
OpenAI API key; Python backend; Node.js/Next.js UI; OpenAI Agents SDK; ChatKit
Install & setup
Set OPENAI_API_KEY. Backend: cd python-backend; python -m venv .venv; source .venv/bin/activate; pip install -r requirements.txt; python -m uvicorn main:app –reload –port 8000. UI: cd ui; npm install; npm run dev.
Author
OpenAI
Publisher
Official Project
Last updated
May 4, 2026
Quick brief

Use this when an agent/operator needs to prototype or review a customer-service multi-agent workflow rather than start from a blank SDK example. The workflow is to run and inspect OpenAI’s customer-service demo, trace how the triage agent routes requests to specialist agents, review guardrails and tool boundaries, and adapt the orchestration pattern to a support-domain design. Invoke it for architecture study, handoff testing, prompt/guardrail review, or stakeholder demos before connecting a real helpdesk or customer database. Boundary: this is a reference implementation and review workflow for OpenAI Agents SDK customer-service orchestration; it is not a helpdesk product, a generic SDK listing, or a claim that the demo is production-ready without domain-specific security, data, and escalation review.