Add a prototype program that shows how to hit Open Meteo.

package.json

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+{
+  "dependencies": {
+    "yargs": "^18.1.0"
+  }
+}

prototype.js

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+#!/usr/bin/env node
+// 2026-09-12 - Hyperling
+/* Prototype mostly generated by Ask Brave from prompt:
+ *   node.js script which has 8 location variables including name, lat, lon, and elevation.
+ *   loops over the locations sending them to open-meteo requesting temperature min and max for 7 days, no hourly.
+ *   uses units for USA such as fahrenheit, inches, mph.
+ *   prints the location name and elevation with the average high and low for the week.
+ * */
+// Maybe AI is actually getting better than I thought. ;D
+
+const locations = [
+  { name: "Flagstaff, AZ",  lat: 35.1983,  lon: -111.6513, elevation: 6903 },
+  { name: "Tucson, AZ",     lat: 32.2226,  lon: -110.9747, elevation: 2490 },
+  { name: "Prescott, AZ",   lat: 34.5400,  lon: -112.4685, elevation: 5374 },
+  { name: "Frisco, CO",     lat: 39.5744,  lon: -106.0975, elevation: 9075 },
+  { name: "Greer, AZ",      lat: 34.0100,  lon: -109.4587, elevation: 8356 },
+  { name: "Sedona, AZ",     lat: 34.8697,  lon: -111.7610, elevation: 4350 },
+  { name: "Ehrenberg, AZ",  lat: 33.9897,  lon: -114.3550, elevation: 333  },
+];
+
+locations.sort((a, b) => a.elevation - b.elevation);
+
+const GREEN  = "\x1b[32m";
+const RESET  = "\x1b[0m";
+
+function highlight(value, min, max) {
+  const n = parseFloat(value);
+  return (n >= min && n <= max) ? `${GREEN}${value}${RESET}` : value;
+}
+
+async function getForecast(loc) {
+  const url = new URL("https://api.open-meteo.com/v1/forecast");
+  url.searchParams.set("latitude", loc.lat);
+  url.searchParams.set("longitude", loc.lon);
+  url.searchParams.set("daily", "temperature_2m_max,temperature_2m_min");
+  url.searchParams.set("temperature_unit", "fahrenheit");
+  url.searchParams.set("precipitation_unit", "inch");
+  url.searchParams.set("wind_speed_unit", "mph");
+  url.searchParams.set("timezone", "auto");
+  url.searchParams.set("forecast_days", "7");
+
+  const res = await fetch(url);
+  const data = await res.json();
+
+  const highs = data.daily.temperature_2m_max;
+  const lows  = data.daily.temperature_2m_min;
+
+  const avgHigh = (highs.reduce((a, b) => a + b, 0) / highs.length).toFixed(1);
+  const avgLow  = (lows.reduce((a, b) => a + b, 0) / lows.length).toFixed(1);
+
+  return { name: loc.name, elevation: loc.elevation, avgHigh, avgLow };
+}
+
+(async () => {
+  console.log("Location              | Elev (ft) | Avg High (°F) | Avg Low (°F)");
+  console.log("----------------------+-----------+---------------+------------");
+
+  for (const loc of locations) {
+    try {
+      const r = await getForecast(loc);
+      const hi = highlight(r.avgHigh, 60, 75);
+      const lo = highlight(r.avgLow, 40, 55);
+      console.log(
+        `${r.name.padEnd(20)} | ${String(r.elevation).padStart(9)} | ${hi.padStart(13)} | ${lo.padStart(12)}`
+      );
+    } catch (e) {
+      console.log(`${loc.name}: error – ${e.message}`);
+    }
+  }
+})();