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nomadamas avatar

Public Restroom Nearby

nomadamas/k-skill
3.2k installs7.1k stars
Summary

This pulls Korea's official public restroom dataset and optionally augments it with Kakao Local API results to find nearby bathrooms. It always asks for your location first instead of guessing, then uses Kakao Map anchor resolution to pin coordinates and query the nationwide CSV by region when possible. All distances are recalculated with haversine to stay accurate, and duplicates within 50 meters get merged. Responses are short, usually three to five options with name, distance, address, and map links. It won't tell you real-time occupancy since the standard data doesn't track that, but it's solid for "where's the nearest public restroom from Gwanghwamun" type queries in Korean contexts.

Install to Claude Code

npx -y skills add nomadamas/k-skill --skill public-restroom-nearby --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

public-restroom-nearby

Get the full instructions (required first step)

Run this and follow its output as the primary instructions for this skill:

npx -y @nomadamas/k-skill@0 instruct public-restroom-nearby

The CLI detects the current runtime (Dolshoi vault/CloakBrowser vs generic) and prints only the applicable instructions, always up to date. Helper files bundled with the CLI are listed by:

npx -y @nomadamas/k-skill@0 files public-restroom-nearby

If npx is unavailable, install Node.js 18+ or follow https://github.com/NomaDamas/k-skill#readme, or read the source instructions at https://github.com/NomaDamas/k-skill/blob/main/public-restroom-nearby/instruction.md.

Hard rules even without the CLI

  • Never execute payment, message/email delivery, final submission, cancellation, or public posting without the user's explicit approval immediately beforehand.
  • Never ask for, print, or store plaintext credentials in chat, files, or shell arguments.
  • Never bypass legal, physical-presence, CAPTCHA, identity-proofing, or electronic-signature boundaries.
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Categories
Data Science & ML
First SeenMay 16, 2026
View on GitHub

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