From jeremylongshore-claude-code-plugins-plus-skills
Provides step-by-step guidance, code, and configurations for data quality checks in pipelines covering ETL, transformations, orchestration, and streaming processing. Activates on 'data quality checker' phrases.
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 data quality checker tasks within the Data Pipelines domain.
Implements data quality validation with Great Expectations, dbt tests, and data contracts. Use for pipeline checks, validation rules, test suites, monitoring, and CI/CD automation.
Implements data quality validation with Great Expectations, dbt tests, and data contracts. Useful for building data pipelines, validation rules, and team contracts.
Implements data quality validation with Great Expectations, dbt tests, and data contracts for pipelines, rules, and team agreements.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for data quality checker tasks within the Data Pipelines domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with data quality checker" 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