From jeremylongshore-claude-code-plugins-plus-skills
Guides PySpark transformer operations for data pipelines including ETL, transformations, orchestration, and streaming. Generates code and best practices; auto-activates on 'pyspark transformer'.
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 pyspark transformer tasks within the Data Pipelines domain.
Generates code, configurations, and guidance for Spark job creation in data pipelines covering ETL, transformations, orchestration, and streaming processing.
Implements PySpark jobs, DataFrame/RDD pipelines, Spark SQL queries, structured streaming, performance tuning, partitioning, and cluster configuration for big data ETL.
Writes and optimizes Apache Spark jobs with PySpark for DataFrame transformations, Spark SQL queries, RDD pipelines, shuffle tuning, partitioning, executor config, and structured streaming.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for pyspark transformer tasks within the Data Pipelines domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with pyspark transformer" 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