Agent skill · research science · datadrivenconstruction
bim-classification-ai
Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.
Why this skill is useful
Provides domain-specific knowledge for classifying BIM elements using established standards that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 5k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
BIM Classification AI Business Case Problem Statement BIM models often lack proper classification: Elements without classification codes Inconsistent naming conventions Manual classification is tedious Difficult to map to cost databases Solution AI-powered classification system that analyzes BIM element properties and suggests appropriate classification codes from multiple standards. Business Value Automation - Reduce manual classification effort Consistency - Standardized classification across projects Integration - Enable cost estimation and QTO Quality - Improved data quality in BIM models Technical Implementation Quick Start Common Use Cases 1. Batch Classification 2. Map to CWICR 3. Quality Check Resources DDC Book: Chapter 2.5 - Data Standards Reference: UniFormat II, CSI MasterFormat
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/bim-classification-ai