Build, schedule, and monitor ETL pipelines to extract, transform, and load data across databases, APIs, and file systems with error handling and validation.
# data-pipeline-builder Build and manage ETL/data pipelines for AI agents. Extract, transform, load data between databases, APIs, and file systems. ## Overview A skill for creating and managing data pipelines that move and transform data across different sources and destinations. ## Features - **Source Connectors**: Connect to databases, APIs, files, S3, GCS - **Data Transformation**: Apply filters, mappings, aggregations - **Scheduling**: Cron-based or event-triggered pipelines - **Error Handling**: Retry logic, dead letter queues - **Data Validation**: Schema validation, data quality checks - **Monitoring**: Pipeline status, throughput, error rates - **Incremental Sync**: Support for CDC (Change Data Capture) ## Commands ### Create Pipeline ``` create pipeline from mysql to postgres ``` ### Run Pipeline ``` run etl-job daily-sales-report ``` ### Monitor Pipeline ``` check pipeline health ``` ## Use Cases - Database synchronization - API data extraction - File processing and conversion - Data warehousing - Report generation - Analytics data preparation ## Requirements - Node.js 18+ - Python 3.8+ (for data processing) - Source/destination connectors as needed
don't have the plugin yet? install it then click "run inline in claude" again.