Data Pipeline Builder

4.7
4500 Downloads
310 Stars

Automate data processing pipeline construction with support for multiple data sources and transformations

Data Processing ETL Automation Data Engineering
Repository

Overview

Introduction

Data Pipeline Builder allows you to quickly build robust data processing pipelines without writing lots of boilerplate code.

Key Features

  • Multi-source Support: Databases, APIs, file systems, cloud storage, etc.
  • Visual Builder: Design pipelines through interactive interface
  • Auto Optimization: Intelligently optimize data flow and performance
  • Error Handling: Built-in retry and error recovery mechanisms
  • Monitoring & Alerts: Real-time monitoring of pipeline status

Use Cases

Collect data from multiple sources, clean, transform, aggregate, and finally load into data warehouse.

Installation 

claude-code skill install data-pipeline-builder

Examples

Create Data Pipeline

Create ETL pipeline from multiple data sources

@build-pipeline create --source db,api --target warehouse

Data Transformation

Define data transformation rules

@build-pipeline transform --config transform.yaml

Skill.md

这是原始的 Skill 定义文档，包含了 Skill 的完整技术规格和配置信息。

Front Matter

---
title: "Data Pipeline Builder"
description: "Automate data processing pipeline construction with support for multiple data sources and transformations"
date: 2026-01-14
author: "DataFlow"
version: "2.1.0"
license: "MIT"
rating: 4.7
downloads: 4500
stars: 310
repository: "https://github.com/example/data-pipeline-builder"
category: "Data Engineering"
tags:
  - "Data Processing"
  - "ETL"
  - "Automation"
  - "Data Engineering"
topics:
  - "AI Engineer"
  - "Data Engineer"
installation: "claude-code skill install data-pipeline-builder"
examples:
  - title: "Create Data Pipeline"
    description: "Create ETL pipeline from multiple data sources"
    code: "@build-pipeline create --source db,api --target warehouse"
  - title: "Data Transformation"
    description: "Define data transformation rules"
    code: "@build-pipeline transform --config transform.yaml"
---

Markdown Content


## Introduction

Data Pipeline Builder allows you to quickly build robust data processing pipelines without writing lots of boilerplate code.

### Key Features

- **Multi-source Support**: Databases, APIs, file systems, cloud storage, etc.
- **Visual Builder**: Design pipelines through interactive interface
- **Auto Optimization**: Intelligently optimize data flow and performance
- **Error Handling**: Built-in retry and error recovery mechanisms
- **Monitoring & Alerts**: Real-time monitoring of pipeline status

## Use Cases

Collect data from multiple sources, clean, transform, aggregate, and finally load into data warehouse.

Information

Author
DataFlow
Version
2.1.0
License
MIT
Updated
2026-01-14
Category
Data Engineering