BirdWeather PUC for Openclaw

Connect your AI agent to BirdWeather PUC stations for real-time avian identification and micro-climate sensor data.

pfrederiksen
v1.0.0
Apr 3, 2026
0
849
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install birdweather-puc

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is BirdWeather PUC?

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.

BirdWeather PUC Use Cases

  • Automatically identifying and logging new bird species arrivals in your backyard.
  • Monitoring environmental health by correlating bird activity with AQI and temperature patterns.
  • Generating automated daily birding summaries and top species reports for nature enthusiasts.
  • Setting up notification triggers for the first-ever detection of specific bird species using Openclaw Skills.
  • Tracking local noise pollution levels via sound decibel data captured by the PUC station.

How BirdWeather PUC Works

  1. The AI agent initiates a request via the provided Python script using a unique BirdWeather station token.
  2. The skill queries the BirdWeather API to retrieve the latest detections, species lists, or sensor snapshots.
  3. Data is returned in a structured JSON format, allowing the agent to parse details like species confidence and scientific names.
  4. If configured with a database, the skill logs the information into SQLite tables to maintain a historical record of detections and climate data.
  5. The agent then processes this information to fulfill user queries or trigger automated workflows within the Openclaw Skills framework.

BirdWeather PUC Setup

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.

BirdWeather PUC Data Schema & Taxonomy

This skill maintains a structured data ecosystem using SQLite to ensure persistence across sessions. The schema includes:

  • birdweather_species: A cumulative catalog tracking species_id, common_name, scientific_name, first_detected_at, and detection_count.
  • birdweather_sensor_history: A time-series log storing 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.

BirdWeather PUC Advanced Features

  • New Species Detection: Compare live API feeds against local SQLite records to identify and alert on first-time visitors.
  • Environmental Trend Analysis: Query historical sensor data to visualize air quality spikes or temperature fluctuations.
  • Snapshot Logging: Use the log command via cron or heartbeats to build a high-resolution environmental database.
  • Extensible API Integration: Direct access to JSON outputs makes it compatible with other command-line tools and Openclaw Skills for advanced multi-agent workflows.

SKILL.md


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