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airflow-dag

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Robust Airflow DAG patterns for data pipelines.

Data & Analytics#gcp#dbt#airflow#bigquery#dag#data-pipeline#deferrable-operators
Authorilorozco11
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides ready-to-use Airflow DAG templates and best practices for building, testing, and deploying robust data pipelines using the TaskFlow API and Google Cloud operators. It also covers cross-DAG dependencies, deferrable operators, error handling, retries, and dbt integration to streamline orchestration in modern data environments.

Core Features & Use Cases

  • TaskFlow-based DAGs: Create modular and testable DAGs that leverage the TaskFlow API for clear task orchestration.
  • Cloud Operators & dbt: Integrate BigQuery, GCS, and dbt workflows for end-to-end data pipelines.
  • Use Case: Build and modify a daily recommender data pipeline that extracts from BigQuery, processes with dbt, and loads results back to BigQuery.

Quick Start

Launch a sample Airflow DAG template to validate your environment.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: airflow-dag
Download link: https://github.com/ilorozco11/agent-skill/archive/main.zip#airflow-dag

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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