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Seoul Density

nomadamas/k-skill

Pulls real-time crowd density for 121 hotspots in Seoul using the city's open data API, based on KT and SKT cell signal estimates updated every 5 minutes. You ask "how crowded is Gangnam Station right now" and get back a congestion level (clear, normal, somewhat crowded, crowded) plus estimated population range. Data runs about 15 minutes behind and goes dark between 1-5am. The implementation is a single Python script with no external dependencies that routes through a proxy so you don't need your own API key. Smart for anyone building location-aware apps in Seoul or just trying to avoid the crowds at Hongdae on a Saturday night.

skills.sh installs
9.4K
GitHub stars
8.4K
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add nomadamas/k-skill --skill seoul-density --agent claude-code

Installs into .claude/skills of the current project.

Files

seoul-density

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 seoul-density

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 seoul-density

Keep the CLI and every coding-agent skill install current (including Vercel Agent Skills) with:

npx -y @nomadamas/k-skill@0 update

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/seoul-density/instruction.md.

Hard rules even without the CLI

SKILL.md on GitHub

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Details

Repository
github.com/nomadamas/k-skill
First seen
Jun 3, 2026

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