What is data-engineering-quality?
Data quality testing and validation with Great Expectations and Pandera. Schema validation, data quality tests, profiling, and automated validation in pipelines. Source: legout/data-platform-agent-skills.
·data-engineering-quality
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data-engineering-quality
✓legout/data-platform-agent-skillsGitHub: legout/data-platform-agent-skillsSource: legout/data-platform-agent-skills
Data quality testing and validation with Great Expectations and Pandera. Schema validation, data quality tests, profiling, and automated validation in pipelines.
Installation
How to Install data-engineering-quality
Quickly install data-engineering-quality AI skill to your development environment via command line
- Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
- Run Installation Command: Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-quality
- Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Source: legout/data-platform-agent-skills.
SKILL.md
View rawData validation and testing frameworks for ensuring pipeline correctness and data quality: Great Expectations (enterprise) and Pandera (lightweight). Integrates with orchestration tools for automated validation.
| Approach | Declarative "expectations" | Schema definitions with checks | | DataFrame Support | Pandas, Spark, SQL, BigQuery | Pandas, Polars, PySpark, Dask | | Validation Output | JSON results with detailed diagnostics | Boolean or exception | | Best For | Enterprise data platforms, comprehensive profiling | Python-centric pipelines, lightweight |
| Learning Curve | Steeper (concepts: DataContext, Checkpoints) | Lower (Python decorators/classes) | | Integration | CI/CD, Airflow, Prefect, Dagster | pytest, FastAPI, any Python code |
Data quality testing and validation with Great Expectations and Pandera. Schema validation, data quality tests, profiling, and automated validation in pipelines. Source: legout/data-platform-agent-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-quality- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-22
- Updated
- 2026-03-10
Quick answers
How do I install data-engineering-quality?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-quality Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Where is the source repository?
https://github.com/legout/data-platform-agent-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-22