skills/orthogonal-weather-forecast/SKILL.md
Get weather forecasts - temperature, precipitation, wind, and conditions
npx skillsauth add orthogonal-sh/skills weather-forecastInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Get weather forecasts including temperature, precipitation, wind, and humidity for any location.
Uses the Precip API to get weather data from meteorological sources.
orth run precip /api/v1/daily -q 'latitude=37.7749&longitude=-122.4194&start=2026-02-14&end=2026-02-21'
<details>
<summary>curl equivalent</summary>
curl -X POST "https://api.orth.sh/v1/run" \
-H "Authorization: Bearer $ORTHOGONAL_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"precip","path":"/api/v1/daily","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2026-02-14","end":"2026-02-21"}}'
</details>
orth run precip /api/v1/hourly -q 'latitude=37.7749&longitude=-122.4194&start=2026-02-14&end=2026-02-15'
orth run precip /api/v1/temperature-hourly -q 'latitude=37.7749&longitude=-122.4194&start=2026-02-14&end=2026-02-15'
orth run precip /api/v1/recent-rain -q 'latitude=37.7749&longitude=-122.4194'
orth run precip /api/v1/last-48 -q 'latitude=37.7749&longitude=-122.4194'
All endpoints return GeoJSON FeatureCollection with coordinates in geometry and weather data in properties.
/api/v1/daily — properties.days[] arrayrain, snow, sleet, or freezing_rainobservation or forecast/api/v1/hourly — properties.hours[] arraySame fields as daily, plus:
/api/v1/temperature-hourly — properties.hours[] array/api/v1/recent-rain — properties (single object)/api/v1/last-48 — properties (single object)User: "What's the weather in San Francisco this week?"
orth run precip /api/v1/daily -q 'latitude=37.7749&longitude=-122.4194&start=2026-02-14&end=2026-02-21'
User: "Will it rain in NYC tomorrow?"
orth run precip /api/v1/hourly -q 'latitude=40.7128&longitude=-74.0060&start=2026-02-15&end=2026-02-16'
User: "How much rain fell in Seattle recently?"
orth run precip /api/v1/recent-rain -q 'latitude=47.6062&longitude=-122.3321'
latitude, longitude, or date range for daily/hourly)YYYY-MM-DDprecip_probability: null means the data is from observations, not forecastssource: "observation" = historical data; source: "forecast" = predictedtesting
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