Agent skill · marketing growth · nomadamas

parking-lot-search

Use when the user asks for nearby parking lots or 근처 주차장/공영주차장. Always ask the user's current location first, then use official Data.go.kr public parking data through k-skill-proxy or the parking-lot-search package.

Why this skill is useful

Integrates with official public parking data and provides specific commands for querying nearby parking lots that the AI wouldn't generate on its own.

What it needs

Requires node installed locally. About 1k tokens when loaded. Last updated 2026-08-02. 7,034 stars on the source repository.

What this skill does

parking-lot-search <!-- k-skill:cli-stub — generated by scripts/generate-skill-stubs.js; edit skill.json / instruction.md instead --> Get the full instructions (required first step) Run this and follow its output as the primary instructions for this skill: 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: Keep the CLI and every coding-agent skill install current (including Vercel Agent Skills) with: 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/parking-lot-search/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.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills nomadamas/parking-lot-search

View the source on GitHub

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