A comprehensive LEGO database and collection management skill for AI agents powered by the Brickset API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afol-brickset
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 afol-brickset using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Brickset AFOL skill is a specialized technical module designed for AI agents to interact directly with the Brickset database. It provides a robust wrapper around the Brickset API, allowing developers and hobbyists to fetch set details, high-resolution images, building instructions, and community reviews. By integrating this into Openclaw Skills, users can automate their LEGO inventory management with precision.
Built with security and data integrity in mind, the skill utilizes a dedicated Python-based CLI to handle complex form-encoded API requests. It supports both public data retrieval and private account workflows, ensuring that personal collection data remains secure while providing powerful search and mutation capabilities for the Adult Fan of LEGO (AFOL) community.
To get started with this skill within Openclaw Skills, configure your environment variables and install the dependencies:
# Set your mandatory API Key
export BRICKSET_API_KEY=your_api_key_here
# Optional: Set user hash for private collection access
export BRICKSET_USER_HASH=your_user_hash_here
# Verify the installation
scripts/brickset --help
The skill organizes data through a structured CLI interface that maps to specific Brickset API endpoints. Data is exchanged via application/x-www-form-urlencoded bodies with JSON parameter strings.
| Command | Primary Input | Output Data |
|---|---|---|
sets / details |
Set Number / Query | Theme, Pieces, Minifigs, Price, setID |
images |
setID | Direct URLs to additional images |
instructions |
Set Number | PDF links and booklet versions |
collection |
User Hash | Owned sets, quantities, and ratings |
notes |
User Hash | Personal set-specific annotations |
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