From jeremylongshore-claude-code-plugins-plus-skills
Creates custom Apache Airflow operators for data pipelines. Provides guidance, generates production-ready code for ETL, transformations, orchestration, and streaming.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for airflow operator creator tasks within the Data Pipelines domain.
Generates Airflow DAGs and configurations for data pipelines, ETL, transformations, workflow orchestration, and streaming processing. Useful for automating data workflows.
Builds production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. For data pipelines, workflow orchestration, and batch job scheduling.
Builds production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. For data pipelines, workflow orchestration, or batch job scheduling.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for airflow operator creator tasks within the Data Pipelines domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with airflow operator creator" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering