Great Expectations Generator
Generates Great Expectations suites from data profiles and business rules
npx skills add a5c-ai/babysitter --skill great-expectations-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Great Expectations Generator ## Overview Generates Great Expectations suites from data profiles and business rules. This skill automates the creation of comprehensive expectation suites that enforce data quality constraints. ## Capabilities - Expectation suite generation from profiling - Custom expectation creation - Checkpoint configuration - Data docs generation - Validation result analysis - Expectation parameterization - Suite versioning recommendations - Integration with dbt and Airflow ## Input Schema ```json { "dataProfile": "object", "businessRules": ["object"], "existingSuite": "object", "strictness": "strict|moderate|lenient" } ``` ## Output Schema ```json { "expectationSuite": "object", "checkpointConfig": "object", "documentation": "string", "coverageReport": { "columnsWithExpectations": "number", "totalExpectations": "number" } } ``` ## Target Processes - Data Quality Framework - ETL/ELT Pipeline - dbt Project Setup ## Usage Guidelines 1. Provide data profile results from profiling analysis 2. Define business rules that should be enforced 3. Specify strictness level based on use case requirements 4. Include existing suite if extending an existing configuration ## Bes
- Overview
- Capabilities
- Input Schema
- Output Schema
- Target Processes
- Usage Guidelines
- Best Practices
What does the Great Expectations Generator skill do?
Generates Great Expectations suites from data profiles and business rules
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill great-expectations-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.