data-quality-frameworks▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.
Data Quality Frameworks
Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.
Use this skill when
- Implementing data quality checks in pipelines
- Setting up Great Expectations validation
- Building comprehensive dbt test suites
- Establishing data contracts between teams
- Monitoring data quality metrics
- Automating data validation in CI/CD
Do not use this skill when
- The data sources are undefined or unavailable
- You cannot modify validation rules or schemas
- The task is unrelated to data quality or contracts
Instructions
- Identify critical datasets and quality dimensions.
- Define expectations/tests and contract rules.
- Automate validation in CI/CD and schedule checks.
- Set alerting, ownership, and remediation steps.
- If detailed patterns are required, open
resources/implementation-playbook.md.
Safety
- Avoid blocking critical pipelines without a fallback plan.
- Handle sensitive data securely in validation outputs.
Resources
resources/implementation-playbook.mdfor detailed frameworks, templates, and examples.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★67 reviews- ★★★★★Shikha Mishra· Dec 16, 2024
Keeps context tight: data-quality-frameworks is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Omar White· Dec 16, 2024
Solid pick for teams standardizing on skills: data-quality-frameworks is focused, and the summary matches what you get after install.
- ★★★★★Xiao Harris· Dec 12, 2024
I recommend data-quality-frameworks for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Noor Malhotra· Dec 8, 2024
Keeps context tight: data-quality-frameworks is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kwame Malhotra· Dec 4, 2024
data-quality-frameworks has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Noor Johnson· Nov 27, 2024
Registry listing for data-quality-frameworks matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kwame Chawla· Nov 23, 2024
Useful defaults in data-quality-frameworks — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Emma Johnson· Nov 15, 2024
data-quality-frameworks fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nikhil Ghosh· Nov 11, 2024
We added data-quality-frameworks from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yash Thakker· Nov 7, 2024
Registry listing for data-quality-frameworks matched our evaluation — installs cleanly and behaves as described in the markdown.
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