
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.
npx -y skills add nomadamas/k-skill --skill seoul-density --agent claude-codeInstalls into .claude/skills of the current project.
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
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.