An AI-native bridge for reading and creating Building Information Models (BIM) through code-like CSV and SVG files.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bimdown-cli
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 bimdown-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
BimDown is a specialized bridge between AI agents and building data, designed to make architectural design as intuitive as writing code. By utilizing a dual-file architecture, it stores semantic properties in CSV files and 2D geometry in sibling SVG files. This approach allows developers to model houses, perform quantity surveying, and conduct model reviews using standard developer tools. As part of the Openclaw Skills ecosystem, it enables AI agents to handle real-world dimensions and spatial relationships with high precision.
The skill operates on a METERS-first coordinate system and automates complex architectural calculations. It provides a structured environment where spatial layouts are reasoned through code-like definitions, making it an essential tool for automated construction documentation and architectural programming within Openclaw Skills.
This skill requires the bimdown binary from the bimdown-cli npm package. Verify your environment or install it using the following commands:
# Check for existing installation
which bimdown
# Install if missing (requires user permission)
npm install -g bimdown-cli
Ensure a project_metadata.json file is present in your project root to initialize the environment correctly for Openclaw Skills usage.
BimDown organizes data through a strict directory and file taxonomy to ensure compatibility across Openclaw Skills workflows:
| Directory | File Types | Responsibility |
|---|---|---|
global/ |
.csv |
Global definitions like level.csv, grid.csv, and mesh.csv. |
lv-N/ |
.csv + .svg |
Per-level elements like walls and slabs; SVG handles geometry while CSV handles properties. |
root |
project_metadata.json |
Project configuration, units (meters), and versioning. |
Note: Computed fields such as length, area, volume, and level_id are automatically handled by the CLI and should never be manually written to the CSV files.
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