A powerful interface to monitor Bird Buddy smart bird feeders, identify species, and manage device health.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install birdbuddy
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 birdbuddy 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 Bird Buddy?
The Bird Buddy skill enables AI agents to interact directly with your smart bird feeder hardware. By leveraging the pybirdbuddy library, this addition to the library of Openclaw Skills provides real-time access to feeder metrics like battery life and food levels, as well as high-quality sighting data including species identification and postcard media.
Bird Buddy Use Cases
- Monitoring feeder maintenance needs like battery recharging or food refills.
- Automated tracking of local bird biodiversity and frequent visitors.
- Fetching recent sighting photos and species names for nature logging.
- Checking real-time connection status and signal strength of the device.
How Bird Buddy Works
- The skill authenticates with the Bird Buddy service using provided email and password credentials.
- It executes Python-based commands to query the Bird Buddy API via the pybirdbuddy package.
- Data is parsed from the device's status reports or postcard feed.
- The agent returns formatted insights, species identifications, or media URLs to the user.
Bird Buddy Setup
To get started with this entry in the Openclaw Skills registry, ensure you have Python 3 installed and follow these steps:
- Install the core dependency:
pip install pybirdbuddy
- Configure your environment variables (Note: SSO is not supported):
export BIRDBUDDY_EMAIL='[email protected]'
export BIRDBUDDY_PASSWORD='your-password'
- Deploy the skill within your agent environment.
Bird Buddy Data Schema & Taxonomy
The skill processes and returns data structured as follows:
| Data Point | Description |
|---|---|
| Feeder Status | Battery percentage, food level (Low/High), and signal strength. |
| Recent Sightings | A list of bird species, timestamps, and sighting IDs within a specific timeframe. |
| Postcard Feed | Raw metadata for new bird visits. |
| Sighting Details | Detailed information including high-resolution photo URLs for a specific postcard ID. |
Bird Buddy Advanced Features
- Configurable time windows for historical sighting lookups.
- Granular sighting retrieval using specific postcard IDs for media extraction.
- Seamless integration with AI agents for conversational nature observations.
- Support for multi-feeder environments managed through a single account.
SKILL.md
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