A powerful integration to query and analyze bird sound detections from your local BirdNET-Go identification system.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install birdnet
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 birdnet 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 BirdNET-Go?
The BirdNET-Go skill allows users to interface with their local bird sound identification server directly through their AI agent environment. By leveraging Openclaw Skills, developers and bird enthusiasts can programmatically access real-time detection logs, verify species taxonomy, and retrieve environmental data associated with specific audio classifications.
This skill bridges the gap between bioacoustic monitoring hardware and automated data analysis workflows, making it easier to manage large datasets of avian sounds. It is designed for those who host their own BirdNET-Go instances and want a streamlined way to interact with their data without manual API calls.
BirdNET-Go Use Cases
- Monitoring local bird activity from a centralized dashboard or command line.
- Automating the retrieval of rare species detections for environmental reporting.
- Searching historical detection data to track migration patterns over time.
- Generating daily summaries of avian acoustic events in your immediate area.
How BirdNET-Go Works
- The skill establishes a connection to a self-hosted BirdNET-Go instance using a pre-configured local URL.
- Users issue specific commands through Openclaw Skills to query the BirdNET-Go v2 API endpoints.
- The skill utilizes system-level tools like curl and jq to fetch and parse JSON data from the server.
- Structured results, including confidence scores and species metadata, are returned to the user or agent for further processing.
BirdNET-Go Setup
To get started with this skill, ensure you have curl and jq installed on your host machine. Then, configure your credentials:
- Create the configuration directory and file:
mkdir -p ~/.clawdbot/credentials/birdnet/
touch ~/.clawdbot/credentials/birdnet/config.json
- Add your BirdNET-Go server URL to
~/.clawdbot/credentials/birdnet/config.json:
{
"url": "http://192.168.1.50:783"
}
- Test the connection by listing recent detections:
bash scripts/birdnet.sh recent 5
BirdNET-Go Data Schema & Taxonomy
The skill processes and returns data in a structured format compatible with standard Openclaw Skills workflows:
| Field | Description |
|---|---|
| Common Name | The primary English name of the detected bird. |
| Scientific Name | The Latin taxonomy for the species. |
| Confidence | A float between 0.0 and 1.0 indicating identification certainty. |
| Verification | The status of the detection (e.g., verified or unverified). |
| Metadata | Includes rarity scores and associated weather data for specific IDs. |
BirdNET-Go Advanced Features
- Automated daily summary generation using the today command for quick status checks.
- Deep taxonomy lookups providing rarity scores and scientific classification via Openclaw Skills.
- Specific detection analysis that includes environmental and weather telemetry recorded at the time of the sound capture.
- Support for custom limit parameters to manage large-scale detection datasets efficiently.
SKILL.md
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