From role-aqa
Test data management with factory patterns (Faker.js, Fishery, Factory Bot), database seeding, test data isolation (transactions, cleanup), anonymization and masking for production data, synthetic data generation, fixture management, and shared test state risks. Use when designing test data strategies or debugging data-related test failures.
npx claudepluginhub rnavarych/alpha-engineer --plugin role-aqaThis skill is limited to using the following tools:
- Setting up Fishery/Faker factories for TypeScript test data generation
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Implements eval-driven development (EDD) for Claude Code with capability/regression evals, pass@k metrics, and code/model/human graders for measuring agent reliability.
Designs, implements, and audits WCAG 2.2 AA accessible UIs for Web (ARIA/HTML5), iOS (SwiftUI traits), and Android (Compose semantics). Audits code for compliance gaps.
faker.seed(12345) turns a flaky data generator into a deterministic onereferences/factories-seeding-isolation.md — Fishery + Faker.js factory patterns, factory design principles, idempotent seed scripts, transaction rollback vs cleanup vs schema isolation strategies, shared state flakiness diagnosisreferences/anonymization-synthetic-fixtures.md — field-level anonymization techniques table, referential integrity in masking pipelines, synthetic data with edge cases, fixture vs factory decision guide, reproducible random seeding