From jeremylongshore-claude-code-plugins-plus-skills
Provides step-by-step guidance, code, and configurations for schema validation in data pipelines covering ETL, Airflow, Spark, streaming, and data processing. Activates on schema validator mentions.
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 schema validator tasks within the Data Pipelines domain.
Provides Python data validation functions and pipelines for DataFrames using custom checks, Pydantic, Pandera, and Great Expectations. Includes schema evolution and pytest assertions.
Validates data against JSON schemas, business rules, and quality standards including duplicates, anomalies, formats. Generates reports with errors, stats, scores, and fix suggestions.
Validates dlt pipeline-loaded schemas and data: mermaid diagrams, dashboard/MCP queries, fixes types (Decimal for money), nested structures, missing columns.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for schema validator tasks within the Data Pipelines domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with schema validator" 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