An AI-powered skill for querying real-time parking availability and navigation across Taiwan's major cities using TDX data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-parking-query
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-parking-query using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Taiwan Real-time Parking Query skill enables AI agents to provide up-to-the-minute parking information for drivers across major Taiwanese municipalities. By processing geographic coordinates or Google Maps URLs, the skill interfaces with the Taiwan Transport Data eXchange (TDX) to return the number of available spots, distances, and direct navigation links. This is a vital addition to Openclaw Skills for users who need hands-free or rapid parking assistance through messaging platforms like Telegram, LINE, or iMessage.
Built for the Openclaw Skills ecosystem, this tool handles the complexity of API authentication and geographic filtering. It ensures that users spend less time searching for parking and more time reaching their destinations by providing structured, actionable data directly within their preferred chat interface.
To integrate this with Openclaw Skills, follow these steps:
Client ID and Client Secret.openclaw.json configuration file:{
"env": {
"vars": {
"TDX_CLIENT_ID": "your-client-id",
"TDX_CLIENT_SECRET": "your-client-secret"
}
}
}
pip3 install requests
cp -r parking_query ~/.openclaw/skills/
openclaw restart
The skill organizes its data using a hybrid approach of local caching and real-time API calls:
| Data Type | Source | Refresh Rate |
|---|---|---|
| Static Car Park Info | TDX Advanced API | 24 Hours (Cached) |
| Availability Data | TDX Basic API | Per Request |
| Location Input | Latitude/Longitude or URL | Dynamic |
The output is structured as a list of car park objects containing name, remaining_spaces, distance_meters, address, and navigation_links (Apple and Google Maps).
maps.app.goo.gl short links and full Google Maps coordinate URLs.Loading
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