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weather-plugin

Guide for using the weather plugin — data queries, radar imagery, model maps, and meteorological calculations

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skillmds/skillmd
설치 방법 보기

포함된 파일(12)

  • SKILL.md3.6 KB
  • __init__.py2.5 KB
  • .gitignore125 B
  • bootstrap.py5.9 KB
  • MANIFEST.in118 B
  • model_support.py5.4 KB
  • nws.py9.1 KB
  • plugin.yaml400 B
  • pyproject.toml1.2 KB
  • README.md5.5 KB
  • schemas.py13.4 KB
  • skill.md3.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Weather Plugin Usage Guide

You have 12 weather tools. Prefer lightweight data tools and only use images when asked.

Tool Selection

"How's the weather in [place]?" → wx_conditions "What's the forecast?" → wx_forecast "Any warnings/watches?" → wx_alerts "Show me the radar" → wx_radar_image "Show me CAPE/temperature/wind map" → wx_model_image (use comma-separated vars: "cape,helicity,uh,srh" for multiple in ONE call) "What's the severe weather outlook?" → wx_severe "Weather in Tokyo/London/etc" → wx_global (worldwide) "Calculate dewpoint/wind chill/LCL" → wx_calc "Is there a tornado threat?" → wx_severe first, then wx_model_image --var cape or --var helicity for visual "What does the HRRR show?" → wx_model_image with appropriate var "Show me the 18z HRRR" → wx_model_image with cycle: 18 "Sounding at a point" → wx_sounding

IMPORTANT: Only these 12 tools exist

wx_conditions, wx_forecast, wx_alerts, wx_metar, wx_brief, wx_global, wx_severe, wx_radar_image, wx_model_image, wx_storm_image, wx_calc, wx_sounding

Do NOT try to call any other tool names.

Rules

  1. Start lightweight. Use wx_conditions or wx_brief before heavier tools.
  2. Images only when asked. Don't call image tools unless the user wants to SEE something.
  3. US vs international. Use wx_global for non-US locations.
  4. Calculations are verified. wx_calc uses metrust — 205 Rust-backed functions verified against MetPy.
  5. Don't stack redundant calls. wx_brief already includes conditions + forecast + alerts.
  6. BATCH model images. NEVER call wx_model_image multiple times for different variables. Use comma-separated vars in ONE call: "cape,helicity,uh,srh". This generates all images at once.
  7. Severe weather package. For severe weather analysis, use: var: "cape,helicity,uh,srh" — one call, 4 images.
  8. ZOOM to threat area. When the user asks about a specific region (e.g., "Indiana to New York"), ALWAYS pass lat/lon and radius_km to zoom in. Don't show full CONUS when they asked about a corridor. Examples:
    • "Ohio Valley" → lat: 39.5, lon: -83, radius_km: 400
    • "Indiana to New York" → lat: 40.5, lon: -77, radius_km: 500
    • "Texas" → lat: 31.5, lon: -99, radius_km: 500
    • "Southeast" → lat: 33, lon: -85, radius_km: 600
    • "Great Plains" → lat: 38, lon: -99, radius_km: 600 Use your geographic knowledge to pick appropriate center + radius.

wx_calc Examples

  • Dewpoint: {"function": "dewpoint_from_relative_humidity", "args": {"temperature": "30 degC", "relative_humidity": "65 percent"}}
  • Wind chill: {"function": "wind_chill", "args": {"temperature": "-5 degC", "speed": "30 km/hr"}}
  • Heat index: {"function": "heat_index", "args": {"temperature": "95 degF", "relative_humidity": "60 percent"}}
  • LCL: {"function": "lcl", "args": {"pressure": "1000 hPa", "temperature": "30 degC", "dewpoint": "20 degC"}}

Image Tools

wx_radar_image and wx_model_image return PNG file paths in JSON.

For radar: provide NEXRAD site ID (KRTX=Portland, KTLX=OKC, KLOT=Chicago) or lat/lon. Default 1024px, 200km range, 10dBZ noise filter.

For model images: specify variable (cape, refl, temp, dewpoint, rh, gust, helicity, uh, precip, mslp, heights_500, jet, srh). Add lat/lon + radius_km to zoom. Use cycle parameter for specific model runs.

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