Skill

data-quality-frameworks

Implements data quality validation with Great Expectations, dbt tests, and data contracts. Useful for building data pipelines, validation rules, and team contracts.

dbt

CI/CD

data-engineering

Install

npx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin rmyndharis-antigravity-skills

Tool Access

This skill uses the workspace's default tool permissions.

Preview

Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.

Supporting Assets

resources/implementation-playbook.md

SKILL.md

Similar Skills

using-git-worktrees

Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.

superpowers

168.3k

subagent-driven-development

3 files

Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.

superpowers

168.3k

dispatching-parallel-agents

Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.

superpowers

168.3k

Stats

Stars682

Forks124

Last CommitJan 18, 2026

Actions

View Source View Plugin View on GitHub View README

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.md for detailed frameworks, templates, and examples.