testing-quality
✓pytest, data validation, Great Expectations, and quality assurance for data systems
SKILL.md
Production testing strategies with pytest, data validation, and quality frameworks.
| pytest | Testing framework | 8.0+ | | Great Expectations | Data validation | 0.18+ | | Pydantic | Data validation | 2.5+ | | pytest-cov | Code coverage | 4.1+ | | testcontainers | Integration testing | 3.7+ | | responses | HTTP mocking | 0.25+ | | hypothesis | Property-based testing | 6.98+ |
| Issue | Symptoms | Root Cause | Fix |
pytest, data validation, Great Expectations, and quality assurance for data systems Source: pluginagentmarketplace/custom-plugin-data-engineer.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-data-engineer --skill testing-quality- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is testing-quality?
pytest, data validation, Great Expectations, and quality assurance for data systems Source: pluginagentmarketplace/custom-plugin-data-engineer.
How do I install testing-quality?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/pluginagentmarketplace/custom-plugin-data-engineer --skill testing-quality Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/pluginagentmarketplace/custom-plugin-data-engineer
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01