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data-quality-frameworks

8.1

by wshobson

134Favorites
445Upvotes
0Downvotes

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

8.1

Rating

0

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Data & Analytics

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Quick Review

Excellent data quality skill with comprehensive coverage of Great Expectations, dbt tests, and data contracts. The description clearly indicates when to use the skill (validation pipelines, quality checks, data contracts). Task knowledge is strong with detailed code examples for expectation suites, checkpoints, custom dbt tests, and a complete orchestration pipeline. Structure is well-organized with clear patterns, tables, and progressive complexity. The skill provides significant value as implementing comprehensive data quality frameworks requires specialized knowledge of multiple tools and would consume many tokens if done ad-hoc. Minor improvements could include more detail on Soda Core integration mentioned in resources, and cross-framework patterns, but overall this is a production-ready, highly useful skill.

LLM Signals

Description coverage8
Task knowledge9
Structure9
Novelty8

GitHub Signals

26,432
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Last commit 3 days ago

Publisher

wshobson

wshobson

Skill Author

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