A lightweight CLI tool for AI agents to locate and identify breweries across the globe using the Open Brewery DB.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install breweries
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 breweries using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Brewery Lookup skill is a specialized command-line interface designed to bridge the gap between AI agents and craft beer enthusiasts. By leveraging the Open Brewery DB API, this tool enables agents to perform real-time searches for breweries based on specific criteria like name, location, or production type. It is one of the many Openclaw Skills that prioritize speed and simplicity, requiring no authentication or API keys to function.
This skill is particularly effective for developers building assistant agents that need to provide local recommendations or travel advice. Whether you are looking for a microbrewery in Portland or a regional brewpub in California, this utility provides formatted, actionable data instantly.
Ensure you have bash, curl, and jq installed on your system. To integrate this into your environment, follow these steps:
# Navigate to your skills directory
cd path/to/your/skills
# Clone or download the breweries script
# Ensure the script is executable
chmod +x breweries
No API keys or environment variables are required for this Openclaw Skills component.
The skill organizes data fetched from the API into a clear, concise format. The following attributes are typically captured and displayed:
| Attribute | Description |
|---|---|
| Name | The official trade name of the brewery |
| Location | City and State/Province |
| Type | The classification (e.g., micro, brewpub, large) |
| Website | Direct URL to the brewery's homepage |
Queries return up to 10 results per request to ensure the AI agent remains focused and efficient.
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