A natural language bus arrival lookup tool for Singapore commuters to find routes and live timings.
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npx clawhub@latest install buslah
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install buslah using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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ArriveLah is a specialized utility designed for the Openclaw Skills ecosystem that simplifies public transport navigation in Singapore. By processing natural language queries like "bus from my office to home," this skill coordinates multiple APIs to determine the best bus routes, find nearby stops, and provide live timing information. It serves as a bridge between static transport data and real-time arrival services, making it an essential tool for developers and users building local transit assistants.
This Openclaw Skills extension ensures that users get accurate, real-time feedback on bus availability, seat capacity, and vehicle types without manually checking multiple apps. By leveraging OneMap for geocoding and BusRouter for route mapping, it provides a comprehensive transit intelligence layer for any AI agent.
This skill uses public APIs and does not require private API keys for basic functionality. Ensure your environment supports Openclaw Skills and has the necessary network permissions.
# Ensure curl is installed as it is required for web fetching
sudo apt-get install curl
# The skill can be registered within your agent configuration
# using the trigger: "bus from <source> to <destination>"
The skill organizes transit data using a combination of geographic coordinates and metadata codes. This structure is core to how Openclaw Skills handle local navigation.
| Data Point | Description | Key Values |
|---|---|---|
load |
Real-time bus occupancy | SEA (Seats), SDA (Standing), LSD (Limited) |
type |
Vehicle configuration | DD (Double Decker), SD (Single), BD (Bendy) |
feature |
Accessibility features | WAB (Wheelchair Accessible Bus) |
duration_ms |
Time until arrival | Calculated into minutes |
route |
Stop sequence | Verified via routes.json for directionality |
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