public-restroom-nearby

Locate nearby public restrooms in South Korea using official datasets and Kakao Maps.

Updated May 1, 2026
One-click install
npx skills add https://github.com/seolcoding/k-parent-skill --skill public-restroom-nearby-seolcoding
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: public-restroom-nearby
Source: https://github.com/seolcoding/k-parent-skill/tree/main/public-restroom-nearby
Command: npx skills add https://github.com/seolcoding/k-parent-skill --skill public-restroom-nearby-seolcoding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users often struggle to find accessible public restrooms when away from home, especially without reliable local knowledge or real-time data on restroom locations and availability. This skill eliminates that hassle by aggregating official public restroom data and optional Kakao Maps point-of-interest results to deliver accurate, nearby options tailored to the user's location.

Core Features & Use Cases

  • Official Data Aggregation: Pulls from the Korean government's nationwide standard public restroom dataset, with optional Kakao Local API integration to add open restrooms and gas station restroom POIs for more comprehensive results.
  • Location-Aware Search: Requires users to share their location first (as a landmark, address, or coordinates), uses Kakao Map anchor resolution to convert location strings to precise coordinates, and narrows searches to the relevant metropolitan area when possible to improve accuracy.
  • Accurate, Actionable Results: Recalculates distances using the haversine formula instead of relying on third-party distance fields, deduplicates results within 50 meters, and returns 3-5 closest options with addresses, hours, and direct map links for easy navigation. A common use case is a parent out with children in Seoul asking for "Gwanghwamun nearby restrooms" and getting a short, sorted list of the closest options with map links.

Quick Start

Ask the public-restroom-nearby skill for nearby public restrooms and share your current location as a landmark name, address, or latitude and longitude coordinates to receive a list of the closest options with navigation map links.

Frequently Asked Questions about public-restroom-nearby

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

FAQPage Schema
How do I find a public restroom nearby in South Korea?

To find a nearby public restroom in South Korea, provide your current location as a landmark, address, or coordinates. The skill resolves your location into precise coordinates and returns a distance-sorted list of the closest options with map links.

Can I search for public restrooms using a landmark name?

Yes, you can search for public restrooms using a landmark name. The location-aware search converts landmark strings into precise Kakao Map anchor coordinates to narrow the search to the relevant metropolitan area.

How does the nearby restroom finder calculate distance and sort results?

The nearby restroom finder calculates distance using the haversine formula instead of third-party distance fields. It deduplicates restroom results within a 50-meter radius and returns the 3-5 closest options sorted by accurate distance.

Does the restroom search include gas station restrooms and other open facilities?

Yes, the restroom search includes gas station restrooms and other open facilities. It aggregates official national public restroom datasets and optionally integrates Kakao Local API point-of-interest data for comprehensive results.

What information is provided with the restroom search results?

Restroom search results provide addresses, operating hours, and direct navigation map links. This ensures you receive actionable details for the 3-5 closest deduplicated and distance-sorted options.

Are public restroom search results available outside of Seoul?

Public restroom search results are available outside of Seoul across regional areas in South Korea. The skill pulls from the nationwide standard public restroom dataset and narrows searches to the relevant metropolitan area when possible.