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.
Before you install
- Last update
- Files in folder
- 2
- Scripts
- No script files found
- SKILL.md size
- 4.4 KB (about 1,125 tokens of context each time it loads)
- License
- MIT
- Source on GitHub
- wshobson/agents
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
Install
npx skills add wshobson/agents@data-quality-frameworksRuns in a terminal with Node.js 18 or newer. Add -y to skip the prompts and -g to install for every project instead of this one.
Install for your agent
npx skills add wshobson/agents@data-quality-frameworks --agent claude-code -y- Project install writes to
.claude/skills/data-quality-frameworks- Global install writes to
~/.claude/skills/data-quality-frameworks
Start a new session afterwards so the agent picks the skill up. In Claude Code you can also call it directly with /data-quality-frameworks.
What it does
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 contracts between teams - Monitoring data quality metrics - Automating data validation in CI/CD Core Concepts 1. Data Quality Dimensions Dimension Description Example Check ---------------- ------------------------…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
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