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Fine Dust Location

Queries fine dust (PM10) and ultra-fine dust (PM2.5) levels from Korea's AirKorea data using location names or hints. You give it a region like "강남구" or "서울 강남구" and it hits the k-skill-proxy report endpoint to get current air quality readings and grades. If your location is ambiguous, it returns candidate stations and you pick one to query again with the exact station name. The response is kept compact: station, time, PM values, grades, and query method. Built for Korean locales, uses a public proxy at k-skill-proxy.nomadamas.org, and handles the common case where people ask "how's the air here?" without knowing their nearest monitoring station name.

skills.sh installs
11.6K
GitHub stars
8.4K
last updated
Aug 21, 2026

Install

$ npx -y skills add nomadamas/k-skill --skill fine-dust-location --agent claude-code

Installs into .claude/skills of the current project.

Files

fine-dust-location

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 fine-dust-location

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 fine-dust-location

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/fine-dust-location/instruction.md.

Hard rules even without the CLI

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Details

Repository
github.com/nomadamas/k-skill
Category
Backend & APIs
First seen
Apr 16, 2026

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