Agent skill · data analytics · datadrivenconstruction
uberization-readiness
Assess company readiness for construction industry uberization. Analyze data transparency, process automation, and competitive positioning against open data platforms.
Why this skill is useful
Provides a framework for assessing readiness against industry-specific disruption, including metrics and actionable insights.
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
Uberization Readiness Assessment Overview The construction industry faces disruption from open data platforms that bring transparency to pricing, quality, and performance. Companies that fail to adapt risk being "uberized" out of the market. "Traditional business model often thrives on opacity... Automation and open data bring radical transparency." — Artem Boiko "Working with construction companies on process automation is like trying to build a copy of Uber for taxi drivers at an airport in 2005." — Artem Boiko What is Construction Uberization? Readiness Assessment Framework Self-Assessment Questionnaire Competitive Threat Analysis Transformation Roadmap Output Report Resources CWICR Database: https://openconstructionestimate.com Open BIM Standards: https://www.buildingsmart.org DDC Book Chapter 5: Threats and Strategy
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/uberization-readiness