A dedicated flight briefing assistant that fetches real-time aviation weather and provides FAA regulatory guidance.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aviation-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install aviation-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Aviation Agent?
Aviation Agent is a specialized tool within the Openclaw Skills ecosystem designed to assist pilots with pre-flight briefings and regulatory checks. It bridges the gap between raw aviation data and actionable insights by fetching live METAR, TAF, and PIREP information directly from aviationweather.gov without requiring an external API key.
This skill is particularly valuable for student and private pilots who need to decode weather phenomena or verify FAR Part 61/91 requirements quickly. By consolidating weather decoding and FAA reference materials, it simplifies the go/no-go decision process and enhances situational awareness for any pilot leveraging Openclaw Skills.
Aviation Agent Use Cases
- Fetching current METAR and forecast TAF for departure, arrival, and alternate airports.
- Retrieving real-time Pilot Reports (PIREPs) to check for icing or turbulence along a route.
- Verifying VFR weather minimums for specific airspace classes (Class D, E, etc.).
- Cross-referencing current flight conditions against personal minimums for safer flight planning.
How Aviation Agent Works
- The user initiates a request using 4-letter ICAO airport codes (e.g., KLAX, EGLL).
- The skill executes a Python script to query the aviationweather.gov public API for the most recent observations and forecasts.
- The agent decodes raw data strings into plain English, identifying specific hazards like thunderstorms or heavy rain.
- It automatically calculates the flight category (VFR, MVFR, IFR, or LIFR) by evaluating the lowest cloud ceiling and visibility.
- The agent provides context from FAA quick reference files to help the user interpret the legalities of the flight based on the retrieved data.
Aviation Agent Setup
To begin using this tool in your Openclaw Skills environment, ensure you have Python 3 available. No external API keys are necessary to access the aviation weather data.
# Fetch METAR and TAF for specific airports
python3 scripts/metar.py --metar KJFK --taf KJFK
# Check for PIREPs within the last 4 hours near a specific airport
python3 scripts/metar.py --pirep KORD --hours 4
Aviation Agent Data Schema & Taxonomy
The skill utilizes a structured approach to present aviation data and regulatory information:
| Data Type | Source/Storage | Purpose |
|---|---|---|
| Live Weather | aviationweather.gov API | Real-time METAR, TAF, and PIREP data retrieval. |
| Flight Categories | Logic Engine | Determines VFR/IFR status based on ceiling and visibility. |
| FAA References | references/far-quickref.md | Quick lookup for pilot currency and FAR regulations. |
| Decision Guide | references/decision-guide.md | Logic for evaluating flight safety risks and personal minimums. |
Aviation Agent Advanced Features
- Intelligent decoding of complex weather phenomena into human-readable text.
- Support for multi-airport briefings in a single command execution for route planning.
- Customizable PIREP lookback windows ranging from 1 to 24 hours.
- Automated classification of weather categories based on the most restrictive limiting factor, ensuring safety-first reporting.
SKILL.md
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