python-data-pipeline-designer

Savant verdict: Review advised

Security analysis or source-hub review identified patterns requiring attention.

Live evaluation

Not evaluated yet. Workspaces can request a live evaluation.

Security assessment

Scan pending.

Structure

• No license declaredConfirm you may reuse this skill before importing it into your repository.
• The source hub's security checks flagged this skillRunlayer: warn (2/2 files flagged)

SKILL.md

---
name: python-data-pipeline-designer
description: Design ETL workflows with data validation using tools like Pandas, Dask, or PySpark. Use when building robust data processing systems in Python.
---
# Python Data Pipeline Designer

## Purpose and Intent
Design ETL workflows with data validation using tools like Pandas, Dask, or PySpark. Use when building robust data processing systems in Python.

## When to Use
- **Project Setup**: When initializing a new Python project.
- **Continuous Integration**: As part of automated build and test pipelines.
- **Legacy Refactoring**: When updating older Python codebases to modern standards.

## When NOT to Use
- **Non-Python Projects**: This tool is specialized for the Python ecosystem.

## Error Conditions and Edge Cases
- **Missing Requirements**: If the project lacks a requirements.txt or pyproject.toml.
- **Incompatible Versions**: If the project uses a Python version not supported by the tools.

## Security and Data-Handling Considerations
- All analysis is performed locally.
- No source code or credentials are ever transmitted externally.