{"enrichment":{"faq":[{"a":"airflow-dag generates Apache Airflow DAGs tailored for construction data workflows. It provides a builder interface where you compose tasks\u2014bash commands, Python functions, file sensors, and branching logic\u2014then outputs production-ready DAG code. The skill handles everything from BIM model processing to validation and cost reporting, making it easy to orchestrate complex construction ETL pipelines.","q":"How do I create Apache Airflow DAG construction workflows?"},{"a":"airflow-dag includes pre-built templates that accelerate common construction patterns. These templates support BIM validation pipelines, cost estimation workflows, and batch conversion processes. The templates provide a foundation you can customize with your own tasks, sensors, and branching logic, reducing the time needed to build production-ready construction data pipelines.","q":"What templates does airflow-dag offer for construction pipelines?"},{"a":"Yes, airflow-dag supports automating batch conversion of CAD files using Airflow operators. The skill lets you configure data pipeline tasks with sensors, branching, and error handling to manage file conversions at scale. You can generate Python code for complex task dependencies and scheduling to orchestrate your construction data workflows efficiently.","q":"Can airflow-dag automate batch conversion of CAD files?"},{"a":"airflow-dag supports a range of Airflow operators including bash, Python, and file sensors. You can configure task dependencies, implement branching logic, and add error handling to your construction workflows. The skill generates the complete Python code needed to define these operators and their relationships, enabling sophisticated orchestration of construction ETL pipelines.","q":"What operators and features does airflow-dag support?"},{"a":"airflow-dag provides pre-built templates specifically designed for BIM validation and cost estimation workflows. These templates streamline the process of building pipelines that extract, validate, and process BIM data, then generate cost reports. You can use the builder interface to customize these templates for your construction projects' specific requirements.","q":"How does airflow-dag help with BIM validation and cost estimation?"},{"a":"Yes, airflow-dag is released under the MIT license, making it free to use, modify, and distribute. The MIT license allows you to integrate airflow-dag into your construction automation projects with minimal restrictions, whether for commercial or personal use.","q":"Is airflow-dag open source and what license does it use?"}],"shadow_tags":["workflow-orchestration","etl-automation","pipeline-builder","task-scheduling","data-engineering","bim-processing","batch-processing","dag-templates","construction-tech","python-operators"],"summary_rewrite":"This skill generates Apache Airflow DAGs tailored for construction data workflows, handling everything from BIM model processing to validation and cost reporting. It provides a builder interface for composing tasks\u2014bash commands, Python functions, file sensors, and branching logic\u2014then outputs production-ready DAG code. Pre-built templates accelerate common patterns like BIM validation pipelines."},"files":[{"bytes":12103,"path":"2_DDC_Book/4.2-ETL-Automation/airflow-dag/SKILL.md","sha256":"8bacf7dc9c6ac55a49efe4f3500297cbbe6b5a6416eebf53d170523493adcabe","url":"https://skillfed.io/files/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/airflow-dag/05f1207d/SKILL.md"}],"id":"datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/airflow-dag","links":{"html":"https://skillfed.io/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/airflow-dag","md":"https://skillfed.io/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/airflow-dag.md","repo":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":65,"language":"Python","last_updated":"2026-02-14","license":"MIT","name":"airflow-dag","publisher":"datadrivenconstruction","stars":254},"relations":{"similar":[{"id":"personamanagmentlayer/pcl/airflow-expert"},{"id":"manutej/luxor-claude-marketplace/apache-airflow-orchestration"},{"id":"astronomer/agents/dag-factory"},{"id":"astronomer/agents/cosmos-dbt-core"},{"id":"datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/workflow-automation"},{"id":"Aradotso/data-skills/apache-airflow-orchestration"},{"id":"secondsky/claude-skills/ml-pipeline-automation"},{"id":"pluginagentmarketplace/custom-plugin-data-engineer/etl-tools"},{"id":"wshobson/agents/airflow-dag-patterns"},{"id":"ancoleman/ai-design-components/transforming-data"}]},"slug":{"owner":"datadrivenconstruction","repo":"DDC_Skills_for_AI_Agents_in_Construction","skill":"airflow-dag"},"version":"05f1207d"}