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transforming-data

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Build robust data pipelines with modern tools.

Data & Analytics#data pipeline#dbt#data transformation#etl#airflow#polars#elt
Authorancoleman
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the process of transforming raw data into clean, analysis-ready datasets, addressing the complexities of data pipelines, model building, and orchestration.

Core Features & Use Cases

  • ETL/ELT Patterns: Implement industry-standard data transformation workflows.
  • SQL & Python Tools: Leverage dbt, pandas, polars, and PySpark for diverse data needs.
  • Orchestration: Integrate with Airflow, Dagster, or Prefect for automated scheduling and dependency management.
  • Use Case: You need to build a daily data pipeline that ingests sales data, transforms it into fact and dimension tables using dbt, and orchestrates the process with Airflow.

Quick Start

Use the transforming-data skill to build a dbt incremental model for your orders data.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: transforming-data
Download link: https://github.com/ancoleman/ai-design-components/archive/main.zip#transforming-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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