python-data-pipeline-designer
CommunityDesign Python ETL workflows with validation.
Authorjorgealves
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps data teams design and validate Python ETL pipelines, reducing manual setup and preventing data quality issues by providing structured guidance and best practices.
Core Features & Use Cases
- ETL Design Guidance: Outline steps to extract, transform, and load data using Pandas, Dask, or PySpark with built-in validation.
- Data Validation Practices: Integrate schema checks, type validation, and error handling into workflows.
- Use Case: Build a reproducible data pipeline for weekly data ingestion and QA checks in a Python project.
Quick Start
Create a new Python project, install pandas, dask, and pyspark, and start wiring a simple ETL workflow scaffold.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: python-data-pipeline-designer Download link: https://github.com/jorgealves/agent_skills/archive/main.zip#python-data-pipeline-designer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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