data-quality-frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
- Skills
- General
- 0
What it does and how to use it
A skill that teaches Claude Code to do general tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/wshobson-agents__data-quality-frameworks && curl -fsSL https://doutorai.pt/data/lib/skills__wshobson-agents__data-quality-frameworks.md -o .claude/skills/wshobson-agents__data-quality-frameworks/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: data-quality-frameworks
description: Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
---
# Data Quality Frameworks
Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.
## When to Use This Skill
- Implementing data quality checks in pipelines
- Setting up Great Expectations validation
- Building comprehensive dbt test suites
- Establishing data contra
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