Connect your AI agent to BirdWeather PUC stations for real-time avian identification and micro-climate sensor data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install birdweather-puc
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install birdweather-puc using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The BirdWeather PUC skill enables your AI coding agent to interact with the BirdWeather station ecosystem to track wildlife and environmental health. By utilizing Openclaw Skills, users can programmatically access rich data on local bird species detections, air quality, temperature, and ambient sound levels. This tool is designed for developers building nature-focused applications, automated wildlife journals, or smart home automations that respond to environmental changes and avian activity in real-time.
To use this skill, retrieve your public station token from Station Settings at app.birdweather.com. You can then configure your environment to interact with Openclaw Skills as follows:
# Set your token as an environment variable
export BIRDWEATHER_TOKEN=your_token_here
# Run a summary of today's detections
python3 scripts/birdweather.py summary --token $BIRDWEATHER_TOKEN
Ensure you have Python 3 installed to execute the data access scripts.
This skill maintains a structured data ecosystem using SQLite to ensure persistence across sessions. The schema includes:
species_id, common_name, scientific_name, first_detected_at, and detection_count.recorded_at, temp_f, humidity, pressure, aqi, eco2, and sound_db.This organization allows Openclaw Skills to perform complex data analysis and trend reporting over time.
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