跳到主要内容
知仓学习社ZHICANG

Weather Automation

Automate weather-based workflows, forecasts, alerts, and location-aware notifications

不碰外部(只输出文字)无严重或高危命中claude-office-skills/skills

它会碰到什么

扫了多少1 个文本文件,3 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

Weather Automation

Automate weather-based workflows and notifications.

Core Capabilities

Current Weather

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

Forecast

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

Weather Alerts

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

Workflow Examples

Morning Briefing

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}}

Event Planning

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"

Best Practices

  1. Caching: Cache frequent requests
  2. Units: Support both metric/imperial
  3. Accuracy: Use reliable data sources
  4. Alerts: Set sensible thresholds
  5. Location: Support multiple formats

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。