Python Data Pipeline Designer
This helps you design ETL workflows with built-in data validation using Pandas, Dask, or PySpark. You'd reach for it when building data processing systems that need to be production-ready, not just notebook prototypes. The source mentions project setup and CI pipelines, though those seem like copy-paste errors since this is clearly about data pipelines, not Python project initialization. One honest take: if you're moving from ad-hoc data scripts to something repeatable and testable, this gives you the structure to think through extraction, transformation, loading, and validation steps systematically. Works locally, doesn't phone home with your data.
- skills.sh installs
- 258
- GitHub stars
- 2
- last updated
- Aug 21, 2026
Install
$ npx -y skills add jorgealves/agent_skills --skill python-data-pipeline-designer --agent claude-codeInstalls into .claude/skills of the current project.
Files
This helps you design ETL workflows with built-in data validation using Pandas, Dask, or PySpark. You'd reach for it when building data processing systems that need to be production-ready, not just notebook prototypes. The source mentions project setup and CI pipelines, though those seem like copy-paste errors since this is clearly about data pipelines, not Python project initialization. One honest take: if you're moving from ad-hoc data scripts to something repeatable and testable, this gives you the structure to think through extraction, transformation, loading, and validation steps systematically. Works locally, doesn't phone home with your data.
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- Repository
- github.com/jorgealves/agent_skills
- Categories
- DevOps & CI/CD, AI & Agent Building, Data Science & ML, Automation & Workflows, Python, Sales & Marketing, Design & UI/UX
- First seen
- Jun 3, 2026
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