Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
MTA system train departures (NYC Subway, LIRR, Metro-North). Use when the user wants train times, schedules, or service alerts for MTA transit. Covers MTA Subway, LIRR, and Metro-North across the greater New York area.
MTA system train departures (NYC Subway, LIRR, Metro-North). Use when the user wants train times, schedules, or service alerts for MTA transit. Covers MTA Subway, LIRR, and Metro-North across the greater New York area.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Atomic CLI for NYC transit departures (MTA Subway, LIRR, Metro-North).
npm install -g gotrain-cli
CommandDescriptiongotrain stations [query]List/search stationsgotrain departures <station-id>Show departures for a stationgotrain alertsActive service alertsgotrain fav <id>Toggle favorite stationgotrain favsList favorite stations
MNR-149 - New Haven MNR-151 - New Haven-State St MNR-1 - Grand Central MNR-203 - Penn Station (MNR) LIRR-349 - Grand Central SUBWAY-631 - Grand Central-42 St
# Search for Penn Station gotrain stations penn # New Haven to Grand Central departures gotrain departures MNR-149 # Check service alerts gotrain alerts # Add favorite station gotrain fav MNR-149
https://github.com/gumadeiras/gotrain-cli
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.