Agent skill · data analytics · claude-office-skills
data-pipeline
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
Why this skill is useful
Provides specific ETL patterns and executable workflows for data integration that the AI wouldn't reliably generate on its own.
What it needs
Requires n8n installed locally. About 4k tokens when loaded. Last updated 2026-01-31. 363 stars on the source repository.
What this skill does
Data Pipeline Build data pipelines and ETL workflows for data integration, transformation, and analytics automation. Based on n8n's data workflow templates. Overview This skill covers: Data extraction from multiple sources Transformation and cleaning Loading to destinations Scheduling and monitoring Error handling and alerts --- ETL Patterns Basic ETL Flow n8n ETL Workflow --- Data Sources Common Extractors --- Transformations Common Transformations Code Transform Examples --- Data Destinations Common Loaders --- Scheduling & Monitoring Pipeline Scheduling Monitoring & Alerts --- Data Quality Quality Checks --- Output Example Request: "Create a daily sales data pipeline" Output: Shopify + Stripe → Transform → BigQuery + Sheets yaml source: shopify filter: createdat >= yesterday fields: [id, email, totalprice, lineitems, createdat] yaml source: stripe filter: created >= yesterday fields: [id, amount, status, metadata.orderid] javascript // Join and clean data { date: order.createdat.split('T')[0], orderid: order.id, customer: order.email, revenue: parseFloat(order.totalprice), items: order.lineitems.length, paymentstatus: payment.status } --- Data Pipeline Skill - Part of Claude Office Skills
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills claude-office-skills/data-pipeline