A real-time data integration for checking NYC subway arrivals, station status, and train tracking without requiring an API key.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nyc-subway-status
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install nyc-subway-status using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is NYC Subway Real-Time Tracker?
This Openclaw Skills integration provides developers and AI agents with a powerful interface to the New York City subway system. It leverages the nyc-subway-status.com API to deliver live updates on train arrivals, service status, and trip details. By using this skill, agents can answer complex transit queries, compare route efficiency, and provide step-by-step navigation help within the NYC transit network.
Designed for seamless integration with AI coding agents, this tool handles the complexity of MTA data by providing pre-computed arrival times and a robust search mechanism. Whether you are building a personal travel assistant or a broader transit dashboard, this Openclaw Skills resource ensures your agent has access to accurate, low-latency subway data.
NYC Subway Real-Time Tracker Use Cases
- Checking the next train arrival for specific routes at any station.
- Getting a full board of all upcoming arrivals at a major transit hub like Union Square.
- Verifying the service status of a specific subway line to see if it is running normally.
- Tracking a specific train's progress across its entire route using a trip ID.
- Finding station slugs and available routes near a specific landmark or intersection.
How NYC Subway Real-Time Tracker Works
- The agent fetches the llms.txt documentation from the base URL to understand all available endpoints and response schemas.
- The agent performs a search using the search endpoint to retrieve exact, hyphenated station and route slugs.
- Using the identified slugs, the agent calls specific endpoints to get real-time data for arrivals or specific trips.
- The skill returns pre-computed minutes_away values, which the agent summarizes for the user based on uptown or downtown directions.
NYC Subway Real-Time Tracker Setup
To get started with this NYC Subway integration for Openclaw Skills, you can access the API directly. No API key is required.
First, fetch the API reference to understand the surface area:
curl https://nyc-subway-status.com/llms.txt
For agents supporting the Model Context Protocol (MCP), add the following to your configuration:
{
"mcpServers": {
"nyc-subway": { "url": "https://nyc-subway-status.com/mcp" }
}
}
NYC Subway Real-Time Tracker Data Schema & Taxonomy
The skill organizes data around stations, routes, and trips. All responses follow a standard envelope:
| Field | Description |
|---|---|
| ok | Boolean indicating success status. |
| data | Object containing the primary payload (arrivals, stations, etc). |
| _meta | Metadata including timestamps and realtime verification. |
Key data points include:
- Directions: categorized as uptown (northbound) or downtown (southbound).
- Slugs: routes are lowercase (e.g., q, a) and stations are hyphenated (e.g., 14-st-union-sq).
- Time: includes both Unix timestamps and ISO 8601 strings.
NYC Subway Real-Time Tracker Advanced Features
- Model Context Protocol (MCP) support for native agent tool-calling including get_arrivals and search_subway.
- Trip tracking capabilities to see every stop on a journey with passed or upcoming status.
- Line-wide status aggregation to detect service disruptions based on arrival density.
- Server-side pre-computed arrival offsets to simplify logic for Openclaw Skills consumers.
- Multi-route comparison at single stations to recommend the fastest transit option.
SKILL.md
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