Agent skill · data analytics · datadrivenconstruction
interoperability-analyzer
Analyze data interoperability issues in construction projects. Identify format incompatibilities and data loss points.
Why this skill is useful
Provides domain-specific knowledge on data interoperability issues and format capabilities in construction projects that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 4k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
Interoperability Analyzer Business Case Problem Statement Data interoperability challenges: Multiple proprietary formats Data loss in conversions Incompatible systems Missing standard adoption Solution Analyze data exchange patterns, identify interoperability issues, and recommend solutions for seamless data flow. Technical Implementation Quick Start Common Use Cases 1. Workflow Analysis 2. Compatibility Matrix 3. Export Report Resources DDC Book: Chapter 3.5 - Data Challenges in Construction buildingSMART: IFC Standards Website: https://datadrivenconstruction.io
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/interoperability-analyzer