CI/CD Integration
claudeStage design, quality gates, sharding, working GitHub Actions, Azure DevOps and Jenkins pipelines, artefacts, secrets and debugging.
7 skills · 1 agent
0
claude
Synthetic Test Data
Schema derivation, referential integrity, edge-case distribution, regulatory profiles and lineage. No production PII, ever.
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Plugin qa-synthetic-test-data from marketplace qz-agent-clusters in Qualizeal/skills. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (5)
data-lineageSeed every generator and ship a lineage document recording generator version, seed, schema version, row counts and the regeneration command. Use when producing a dataset that anyone will need to reproduce.
edge-case-distributionDeliberately include boundaries, unicode and RTL, temporal edges, empty and maximal collections and nulls, because a dataset of uniformly valid rows finds no defects. Use when designing the shape of a test dataset.
referential-integrityGenerate in topological dependency order and verify foreign keys, unique indexes, check constraints and application invariants independently afterwards. Use when producing a multi-table fixture or seeding an environment.
regulatory-profilesGDPR, PCI-DSS, HIPAA and data-residency constraints on generated data, plus the conventions that keep synthetic identifiers visibly fake. Use when test data touches personal, payment or health information.
schema-derivationDerive types, constraints, keys and application-level invariants from migrations, DDL or ORM models rather than assuming them — and why masked production data is never an acceptable substitute. Use before generating any test dataset.
Subagents (1)
synthetic-data-architectGenerates schema-aware synthetic test data that satisfies referential integrity and regulatory constraints, with lineage documentation and zero production PII. Use when test data is needed for a suite, environment seed, edge-case fixture or performance run.
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