Agent skill · data analytics · datadrivenconstruction
open-data-integrator
Integrate open construction datasets. Combine open data sources for enhanced analysis
Why this skill is useful
Provides integration patterns and domain-specific knowledge for combining various open construction datasets that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 7k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
Open Data Integrator Overview Based on DDC methodology (Chapter 2.2), this skill integrates open construction datasets from various sources like government databases, industry benchmarks, weather services, and geospatial data. Book Reference: "Доминирование открытых данных" / "Open Data Dominance" Quick Start Common Use Cases Fetch Material Prices Enrich Project Data Assess Weather Risk Quick Reference Component Purpose ----------- --------- OpenDataIntegrator Main integration engine OpenDataConnector Base connector class WeatherDataConnector Weather API connector MaterialPriceConnector Material price indices LaborRateConnector Labor rate data EnrichedData Enriched data result Resources Book: "Data-Driven Construction" by Artem Boiko, Chapter 2.2 Website: https://datadrivenconstruction.io Next Steps Use ontology-mapper for semantic mapping Use cost-prediction with indices Use weather-impact-analysis for sch
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/open-data-integrator