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