skills/capabilities/orthogonal-weather-forecast/SKILL.md
Get weather forecasts - temperature, precipitation, wind, and conditions
npx skillsauth add gooseworks-ai/goose-skills orthogonal-weather-forecastInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Get weather forecasts including temperature, precipitation, wind, and humidity for any location.
Uses the Precip API to get weather data from meteorological sources.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_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>
<summary>curl equivalent</summary>
curl -X POST "https://api.orth.sh/v1/run" \
-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>
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"precip","path":"/api/v1/hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2026-02-14","end":"2026-02-15"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"precip","path":"/api/v1/temperature-hourly","query":{"latitude":"37.7749","longitude":"-122.4194","start":"2026-02-14","end":"2026-02-15"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"precip","path":"/api/v1/recent-rain","query":{"latitude":"37.7749","longitude":"-122.4194"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"precip","path":"/api/v1/last-48","query":{"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?"
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_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"}}'
User: "Will it rain in NYC tomorrow?"
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"precip","path":"/api/v1/hourly","query":{"latitude":"40.7128","longitude":"-74.0060","start":"2026-02-15","end":"2026-02-16"}}'
User: "How much rain fell in Seattle recently?"
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"precip","path":"/api/v1/recent-rain","query":{"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" = predicteddevelopment
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