agentsclimarketplace

Usgs earthquake geojson

Skill cxcscmu/SkillLearnBench/skills/b1-one-shot-claude-sonnet-4-6/earthquake-plate-calculation/usgs-earthquake-geojson

Parse and work with USGS earthquake GeoJSON data, extracting IDs, magnitudes, coordinates, times, and place descriptions.From its SKILL.md

Install
npx -y skills add cxcscmu/SkillLearnBench --skill usgs-earthquake-geojson

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.8 KB, 478 tokens by cl100k_base, as published. Nobody here has run it

USGS Earthquake GeoJSON Parsing

Data Structure

USGS earthquake GeoJSON follows the standard FeatureCollection format:

{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "properties": {
        "mag": 5.1,
        "place": "13 km NW of Port-Vila, Vanuatu",
        "time": 1735537742808,   // Unix timestamp in milliseconds
        "mag": 5.1,
        "magType": "mww"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [168.2183, -17.6555, 66.612]  // [lon, lat, depth_km]
      },
      "id": "us6000pgf9"
    }
  ]
}

Loading into GeoDataFrame

import geopandas as gpd
import json
from datetime import datetime, timezone

with open("earthquakes_2024.json") as f:
    eq_data = json.load(f)

records = []
for feat in eq_data["features"]:
    props = feat["properties"]
    coords = feat["geometry"]["coordinates"]
    time_ms = props["time"]
    time_iso = datetime.fromtimestamp(time_ms / 1000, tz=timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
    records.append({
        "id": feat["id"],
        "place": props["place"],
        "time": time_iso,
        "magnitude": props["mag"],
        "longitude": coords[0],
        "latitude": coords[1],
    })

gdf = gpd.GeoDataFrame(
    records,
    geometry=gpd.points_from_xy([r["longitude"] for r in records], [r["latitude"] for r in records]),
    crs="EPSG:4326"
)

Key Notes

  • time field is Unix timestamp in milliseconds (divide by 1000 for seconds)
  • geometry.coordinates is [longitude, latitude, depth_km] — NOT [lat, lon]
  • Use datetime.fromtimestamp(ms/1000, tz=timezone.utc) for ISO 8601 UTC formatting

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.