Great Expectations Data Validation Pipeline
Validate data quality using the Great Expectations Python library. Define expectations as unit tests for your data, run validation suites, and generate human-readable data quality reports.
Great Expectations Data Validation Pipeline
Validate data quality using the Great Expectations Python library. Define expectations as unit tests for your data, run validation suites, and generate human-readable data quality reports.
Installation
Method 1, Agent Skill Exchange
- Install from the marketplace listing: https://agentskillexchange.com/skills/great-expectations-data-validation-pipeline/
Method 2, Git clone
git clone https://github.com/agentskillexchange/skills.git && cd skills/skills/great-expectations-data-validation-pipeline
Method 3, Download ZIP
- Download the repository ZIP and extract
skills/great-expectations-data-validation-pipeline.
Method 4, Manual copy
- Copy this skill folder into your local skills directory, then reload your agent tooling.
Method 5, Fork and sync
- Fork the repository if you want to maintain local edits while syncing upstream changes.