Test Data Management
petrkindlmann/qa-skills/skills/test-data-managementby petrkindlmannb3bb61bd268bMIT168 starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 4 months ago
Create and manage test data with factory patterns, fixture strategies, data anonymization, and synthetic data generation. Covers Fishery (TypeScript), FactoryBot (Ruby), Factory Boy (Python), database seeding, cleanup strategies, and GDPR-compliant data handling. Use when: "test data," "fixtures," "factories," "seed data," "synthetic data," "test database," "data anonymization." Not for: migration/integrity testing of the DB itself — use database-testing; environment provisioning and database branching strategy — use test-environments. Related: test-environments, database-testing, api-testing, unit-testing.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/factories.md | 8.2 KB | text/markdown |
| references/seeding-and-synthetic.md | 5.7 KB | text/markdown |
| SKILL.md | 17.3 KB | text/markdown |
Source and attribution
Source:petrkindlmann/qa-skillsinskills/test-data-managementat commitb3bb61b
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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