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data-quality-frameworks

Official

Ensure data reliability with robust validation.

Data & Analytics#validation#data quality#dbt#pipeline#data contracts#great expectations
AuthorACGSpgp
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the critical need for data integrity in pipelines by implementing comprehensive validation strategies, preventing bad data from propagating and ensuring trustworthy analytics.

Core Features & Use Cases

  • Data Validation: Implement checks using Great Expectations, dbt tests, and data contracts.
  • Pipeline Quality: Integrate automated data quality checks into CI/CD and data pipelines.
  • Use Case: When building a new data pipeline for customer orders, use this Skill to set up Great Expectations to validate that order_id is unique and not null, and dbt tests to ensure referential integrity with the customers table.

Quick Start

Use the data-quality-frameworks skill to set up Great Expectations validation for the 'orders' table using the 'orders_suite' expectation suite.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-quality-frameworks
Download link: https://github.com/ACGSpgp/ACGS/archive/main.zip#data-quality-frameworks

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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