Agent skill · software engineering · datadrivenconstruction
airflow-dag
Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.
Why this skill is useful
Provides specific patterns and implementations for creating Apache Airflow DAGs tailored to construction data pipelines.
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
Apache Airflow DAG for Construction Overview Apache Airflow orchestrates complex data pipelines. This skill creates DAGs for construction ETL processes - from BIM extraction to cost reports. Python Implementation Quick Start Pipeline Templates 1. BIM Validation 2. Cost Estimation 3. Batch Conversion Resources DDC Book: Chapter 4.2 - Apache Airflow Orchestration Airflow Docs: https://airflow.apache.org/docs/
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/airflow-dag