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πŸ¦€ ClawHub

Open-Meteo Weather + Weather Strip

by @dapkus

Get weather forecasts via Open-Meteo API (free, no API key). Use when: user asks about weather, temperature, rain probability, UV index, wind, or forecasts f...

Versionv1.0.0
Downloads777
Installs3
TERMINAL
clawhub install open-meteo

πŸ“– About This Skill


name: open-meteo description: "Get weather forecasts via Open-Meteo API (free, no API key). Use when: user asks about weather, temperature, rain probability, UV index, wind, or forecasts for any location. Provides current conditions, hourly forecasts, and 7-day daily forecasts with precipitation probability, feels-like temp, UV index, sunrise/sunset. Also generates Weather Strip SVG widget for the daily digest. Default weather skill β€” replaces wttr.in."

Open-Meteo Weather

Free weather API. No API key needed. Returns JSON.

Scripts

weather.sh β€” Raw JSON Forecast Data

scripts/weather.sh   [current|hourly|daily] [days] [units]

  • days: 1-16 (default 3)
  • units: fahrenheit (default) or celsius
  • current mode returns both current snapshot and daily forecast
  • scripts/weather.sh 37.75 -122.43 current 3 fahrenheit
    scripts/weather.sh 37.75 -122.43 hourly 2 fahrenheit
    scripts/weather.sh 37.75 -122.43 daily 7 fahrenheit
    

    weather_strip.py β€” SVG Weather Strip Widget

    Generates a Weather Strip-style interactive SVG visualization. Features:

  • Smooth bezier curves for temperature and dew point
  • Cloud cover area graph (semi-transparent, 0-100%)
  • Rain amount bar graph (opaque light blue, 0-2 in/hr scale, shown when rain prob >50%)
  • Rain probability line overlay
  • UV index bar (yellow/orange/red at UV 3+)
  • Sky gradient background (sky blue day β†’ navy night, smooth sunrise/sunset transitions)
  • Moon phase icon at sunset
  • Fixed scrubber bar with scroll-to-read tooltip (shows all metrics)
  • Multi-city support with time-range scheduling
  • Fixed 0-110Β°F temperature scale
  • 7-day daily forecast strip below hourly
  • # Single location
    python3 scripts/weather_strip.py --lat 37.75 --lon -122.43 --days 7 \
      > /Users/dapkus/openclaw-apps/digest-app/static/weather-strip.html

    Standalone preview page

    python3 scripts/weather_strip.py --lat 37.75 --lon -122.43 --days 7 \ --output /Users/dapkus/openclaw-apps/digest-app/static/weather-strip-preview.html

    Multi-city with time ranges (for travel)

    python3 scripts/weather_strip.py --schedule '[ {"name":"SF","lat":37.75,"lon":-122.43,"ranges":[ ["2026-03-01T00:00","2026-03-02T08:00"], ["2026-03-06T15:00","2026-03-07T23:00"] ]}, {"name":"Palm Springs","lat":33.83,"lon":-116.55,"ranges":[ ["2026-03-02T10:00","2026-03-06T13:00"] ]} ]' --days 7 > /Users/dapkus/openclaw-apps/digest-app/static/weather-strip.html

    Schedule format: Each location has name, lat, lon, and either:

  • ranges: list of ["start_iso", "end_iso"] pairs (hour-level precision, skips transit gaps)
  • dates: list of "YYYY-MM-DD" strings (whole days, simpler)
  • Output: Without --output, prints embeddable

    to stdout. With --output, writes a full standalone HTML page.

    Digest Integration

    The digest app reads static/weather-strip.html and includes it at the top of each digest page.

    Regenerate daily as part of morning digest generation: 1. Generate weather strip β†’ static/weather-strip.html 2. If travel scheduled, use --schedule with time ranges 3. Default: SF single-location

    Common Coordinates

    | Location | Lat | Lon | |---|---|---| | San Francisco | 37.75 | -122.43 | | New York | 40.71 | -74.01 | | Los Angeles | 34.05 | -118.24 | | London | 51.51 | -0.13 | | Palm Springs | 33.83 | -116.55 |

    For other cities:

    curl -sf "https://geocoding-api.open-meteo.com/v1/search?name=CityName&count=1" | jq '.results[0] | {name, latitude, longitude}'
    

    WMO Weather Codes

    | Code | Meaning | |---|---| | 0 | Clear sky | | 1-3 | Mainly clear / Partly cloudy / Overcast | | 45, 48 | Fog / Depositing rime fog | | 51-55 | Drizzle: light / moderate / dense | | 61-65 | Rain: slight / moderate / heavy | | 71-75 | Snow: slight / moderate / heavy | | 80-82 | Rain showers: slight / moderate / violent | | 95, 96, 99 | Thunderstorm / with hail |

    Interpreting Results

  • Parse JSON with jq
  • precipitation_probability_max is the best "will it rain?" signal
  • apparent_temperature = feels-like (wind chill + humidity)
  • uv_index_max > 6 = recommend sunscreen
  • Times are in the location's local timezone (auto-detected)
  • Presentation

    Summarize weather conversationally. Lead with what matters: temperature, rain chance, anything unusual. Don't dump raw JSON.