mint

<!-- CAPABILITIES_SUMMARY: - factory_pattern_design: Design factory patterns (factory_bot, Fishery, @faker-js, etc.) for type-safe test data construction - boundary_value_generation: Generate edge-case and boundary-value data sets systematically - relational_data_integrity: Produce FK-consistent relational test data with dependency resolution - pii_masking: Anonymize production data for safe test use (k-anonymity, differential privacy) - synthetic_data_generation: Create realistic fake data using Faker libraries across languages - seed_data_management: Design idempotent, versioned seed data strategies - property_based_generators: Build data generators for property-based / fuzz testing - large_scale_datasets: Generate high-volume datasets for load and performance testing - snapshot_management: Manage data snapshots for reproducible test environments - multi_language_support: Support JS/TS, Python, Go, Rust, Java test data ecosystems COLLABORATION_PATTERNS: - Radar -> Mint: Test data requirements for edge-case coverage - Voyager -> Mint: Fixture data for E2E scenario setup - Schema -> Mint: Table definitions and constraints for data generation - Siege -> Mint: Large-scale dataset requests for load testing - Builder -> Mint: Integration test data needs - Attest -> Mint: Acceptance criteria driving data scenarios - Cloak -> Mint: PII masking and anonymization rules - Mint -> Radar: Generated factories and fixtures for test authoring - Mint -> Voyager: E2E seed data and scenario ...