Escalation Design Skill for ChatGPT: Specify Human Handoffs and Fallbacks
Design clarification, handoff, and unavailable-support paths for a conversation. Draft trigger rules, user-facing messages, and context fields for review or simulation.
中文Install in ChatGPT
Use an eligible ChatGPT workspace with permission to create skills and, for uploads, upload permission. The installation path for this text-only adaptation was checked against OpenAI documentation. Workspace runtime verification is pending.
- Download claude-plugin/ai-alignment-reasoning/skills/escalation-design/SKILL.md from the pinned GitHub source. Keep the name, description, and instructions for escalation-design together as a standalone text skill.
- In a ChatGPT workspace with skills and uploads enabled, open Plugins, Skills, Create, and Upload from your computer. Choose a skill package format accepted by the file picker. You can also choose Create with editor and enter the original name, description, and instructions.
- After the scan completes, check that escalation-design appears in Installed. Type @ in a new chat, select the skill, and use the fictional example on this page to check the output.
Example task
A fictional library booking assistant fails twice to recognize a booking ID. Human support is available weekdays, and the visitor allows sharing only the ID and attempted steps. Draft the escalation rule and after-hours response.What to check
Two failed attempts lead to the handoff path. The handoff contains the permitted fields. After-hours copy gives the next contact window or an intake option. The service team handles any actual transfer.
Original SKILL.md on GitHub · Updated
Frequently asked question
Does one failed attempt require escalation?
Start with a question that can resolve the ambiguity or confirm the format. Set triggers for repeated failures, direct requests for support, or an impasse in the workflow.