Agent skill · operations · datadrivenconstruction
workflow-automation
Automate construction data workflows. Build ETL pipelines and DAG workflows for recurring tasks.
Why this skill is useful
Provides a framework for building ETL pipelines and automating construction data workflows that the AI wouldn't generate on its own.
What it needs
Requires python3 installed locally. About 6k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
Workflow Automation Business Case Problem Statement Data workflow challenges: Manual repetitive tasks Data inconsistency between systems Error-prone manual processes Lack of audit trails Solution Automated workflow system for construction data pipelines with task dependencies, scheduling, and monitoring. Technical Implementation Quick Start Common Use Cases 1. Schedule Workflow 2. Generate Airflow DAG 3. Export Definition Resources DDC Book: Chapter 4.2 - ETL and Process Automation Apache Airflow: https://airflow.apache.org/ Website: https://datadrivenconstruction.io
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/workflow-automation