Korean Medical Beauty Booking Assistant

Problem

In Korean medical-beauty booking, users may know a hospital only by Chinese name, English name, pinyin, or initials, while platform entries, app stores, WeChat channels, detail pages, chat pages, and price pages are scattered across separate destinations. korean-booking turns these actions into a multi-turn flow starting from the hospital name, reducing repeated lookups and manual appointment assembly.

How it works

The skill uses the 961 hospital records in data/hospitals.json and matches hospitals by Chinese name, English name, pinyin, initials, and aliases. When a hospital is found, it generates BeautsGO booking instructions across App Store, Google Play, WeChat Mini Program, WeChat Official Account, and web channels, and creates search keywords.

Page operations are performed through the fixed script node api/browser/open-url.js to open the hospital detail page, customer-service chat page, or price page. The chat and price URLs are derived from the hospital.url slug as /cn/hospital/{slug}-chat and /cn/hospital/{slug}-price.

Appointment submission does not rely on the browser: after collecting headcount, time, and contact information in the conversation, it calls POST https://api.yestokr.com/api/Appointment/saveFromSkill. The skill also requires the returned text to be output unchanged, preserving numbered lists, headings, channel order, and reminders so the model does not rewrite critical information.

Boundaries

It is best for users who already target the BeautsGO platform and can provide a hospital name. It supports booking-step lookup, page entry, price lookup, customer-service chat, and appointment submission through the API. It is not a general medical appointment system, and it is not suitable when the hospital is missing from the local dataset, when unknown platforms must be scraped dynamically, or when the original template structure must be rewritten. Medical advice, exact pricing, account authorization, and API reliability should still be verified against the hospital and platform.