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Found 5 Skills
Python package for working with DICOM files. It allows you to read, modify, and write DICOM data in a Pythonic way. Essential for medical imaging processing, clinical data extraction, and AI in radiology.
Plan comprehensive test data management including synthetic data generation, data anonymization, versioning, and environment-specific strategies.
Tonic integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tonic data.
Use when building Rails features that handle personal data, adding encryption to models, implementing consent flows, building DSAR endpoints, or adding anonymization/pseudonymization. Also use when reviewing code for compliance with privacy laws like GDPR and LGPD, or when asked about privacy-by-design patterns in Rails.
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.