← 返回
AI智能 中文

SubwaySkill

Fetch NYC subway departure times. Use when the user asks about subway trains, commute times, when the next train is, or NYC transit schedules. Covers all sub...
获取纽约市地铁发车时间。适用于用户询问地铁列车、通勤时间、下一班列车或纽约交通时刻表等场景。覆盖所有地铁线路。
nyluke
AI智能 clawhub v1.0.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 946
下载
💾 21
安装
1
版本
#latest

概述

NYC Subway Departure Times

Run the subwayskill CLI to answer questions about NYC subway times.

Commands

# All default stations (Clinton-Washington C, Bergen 2/3, 7 Av Q, Atlantic Av 4/5)
subwayskill

# Specific line and station (fuzzy match — lowercase, partial names work)
subwayskill C clinton-washington
subwayskill 2 bergen

# Filter direction: N (northbound/Manhattan) or S (southbound/Brooklyn)
subwayskill 2 bergen -d N

# Future time — automatically falls back to static schedule
subwayskill 2 bergen -t 19:00

# JSON output for structured data
subwayskill --json
subwayskill C clinton-washington --json

# Control time window (minutes)
subwayskill 2 bergen -w 60

Interpreting output

  • realtime: live data from MTA GTFS-RT feeds, shows relative times ("3 min") and absolute times
  • scheduled: static GTFS schedule fallback, shows absolute times only — used when the requested time is beyond realtime coverage
  • Directions show destination labels when available (e.g., "Manhattan-bound", "Coney Island-bound")

Tips

  • Station names are fuzzy-matched: "clinton" finds "Clinton-Washington Avs", "atlantic" finds "Atlantic Av-Barclays Ctr"
  • If the user doesn't specify a station, run with no args to show all defaults
  • If the user asks about a future time (e.g., "when's the 2 train at Bergen at 7pm?"), use -t HH:MM
  • Use --json when you need to do further processing or comparisons
  • An unknown station returns suggestions — relay those to the user

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-29 08:53 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-intelligence

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,353 📥 317,858
ai-intelligence

ontology

oswalpalash
类型化知识图谱,用于结构化智能体记忆与可组合技能。支持创建/查询实体(人员、项目、任务、事件、文档)及关联...
★ 710 📥 243,620
ai-intelligence

Proactive Agent

halthelobster
将AI智能体从任务执行者升级为主动预判需求、持续优化的智能伙伴。集成WAL协议、工作缓冲区、自主定时任务及实战验证模式。Hal Stack核心组件 🦞
★ 834 📥 212,902