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Weather Automation

Weather Automation

github.com/claude-office-skills生产力5454.5k 次安装39 周前更新
代码仓库

关于 Weather Automation

Weather Automation 用于根据当前天气、预报和预警构建自动化工作流与通知。示例包括定时天气简报，以及针对日历中户外活动的天气查询。

主要功能

  1. 01查询当前天气
  2. 02获取多日预报
  3. 03按阈值触发天气预警
  4. 04定时发送预报通知
  5. 05根据活动查询天气

适用场景

  1. 01发送早间天气简报
  2. 02预报可能降雨时通知
  3. 03查询户外活动天气状况
  4. 04自动发送基于预报的提醒

安装

复制下面的命令，在终端中运行。

$npx skills add https://github.com/claude-office-skills/skills --skill weather-automation

安装后在 Claude Code 中输入/weather-automation确认已加载。

详细介绍

天气自动化

自动化天气相关的工作流和通知。

核心功能

当前天气
current_weather:
  location: "San Francisco, CA"
  # or coordinates
  lat: 37.7749
  lon: -122.4194
  
  response:
    temperature: 65°F
    feels_like: 63°F
    humidity: 72%
    wind_speed: 12 mph
    conditions: "Partly Cloudy"
    uv_index: 5
天气预报
forecast:
  location: "New York, NY"
  days: 7
  
  daily:
    - date: "2024-01-20"
      high: 45°F
      low: 32°F
      conditions: "Snow"
      precipitation_chance: 80%
      
  hourly:
    interval: 3  # hours
    periods: 24
天气预警
alert_rules:
  - name: "Rain Alert"
    condition:
      precipitation_chance: "> 70%"
      within_hours: 6
    action:
      notify: slack
      message: "☔ Rain expected in next 6 hours"
      
  - name: "Freeze Warning"
    condition:
      temperature: "< 32°F"
    action:
      - notify: sms
      - trigger: home_assistant
        action: protect_pipes

工作流示例

晨间简报
morning_weather:
  trigger: daily at 6:30 AM
  actions:
    - get_forecast:
        location: home
        days: 1
    - send_notification:
        channel: slack_dm
        message: |
          🌤️ Good morning! Today's weather:
          High: {{high}}°F | Low: {{low}}°F
          {{conditions}}
          {{#if rain}}☔ Bring an umbrella!{{/if}}
活动规划
event_weather:
  trigger: calendar_event_tomorrow
  condition:
    event_type: outdoor
  actions:
    - get_forecast:
        location: "{{event.location}}"
        date: "{{event.date}}"
    - if:
        precipitation_chance: "> 50%"
      then:
        - notify: organizer
          message: "Consider backup venue - rain likely"

最佳实践

  1. 缓存：缓存频繁的请求
  2. 单位：同时支持公制和英制单位
  3. 准确性：使用可靠的数据源
  4. 预警：设置合理的阈值
  5. 位置：支持多种格式

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