Setup & Installation
openclaw skills install @dimitryvin/aviation-weather
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install aviation-weather
What This Skill Does
Fetches real-time aviation weather data from the FAA's aviationweather.gov API, including METARs, TAFs, and PIREPs. Runs via a Python script with command-line options for filtering by station, forecast type, and geographic area.
Pulls directly from the authoritative FAA data source rather than third-party weather apps that may lag or aggregate differently.
When to use it
- Checking current conditions at KLAX before a VFR flight
- Pulling TAF forecasts for a cross-country route
- Finding PIREPs near a waypoint for turbulence or icing reports
- Getting flight category status for multiple SoCal airports at once
- Reviewing raw METAR history for a specific station
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: What are the current conditions and forecast for KSMO and KBUR?
AGENT
- 1Run wx.py with KSMO and KBUR as arguments and --metar --taf flags
- 2Parse the JSON response for flight category, ceiling, visibility, and wind
- 3Decode TAF periods for each station
- 4Format the output with flight category indicators
OUTPUT
KSMO: MVFR, ceiling 1800ft BKN, 10sm visibility, winds 250@12kt. TAF: VFR by afternoon. KBUR: VFR, ceiling clear, 10sm, winds 270@8kt.