academic-pdf-redaction
Redact text from PDF documents for blind review anonymization
test-data-generation
Synthetic test data generation and management using Faker.js and similar tools. Generate realistic test data, create data factories, implement database seeding, and manage test data anonymization.
Test Data Management
Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.
qe-test-data-management
Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.
ga4-privacy-compliance
Expert guidance for GA4 privacy and compliance including GDPR, CCPA, Consent Mode v2, data deletion, and privacy settings. Use when implementing Consent Mode, ensuring GDPR compliance, handling data deletion requests, configuring consent banners, or implementing privacy-first tracking. Covers consent parameters (ad_user_data, ad_personalization), data retention, IP anonymization, and compliance workflows.
End-to-End Database Testing
End-to-end database testing with test containers, data seeding, cleanup strategies, transaction isolation, and production data anonymization.
Test Data Anonymization
Anonymizing production data for testing while maintaining referential integrity, data distributions, and edge case representation.
test-data-strategy
Plan comprehensive test data management including synthetic data generation, data anonymization, versioning, and environment-specific strategies.
fullstory-anonymize-users
Core concepts for Fullstory's User Anonymization API. Platform-agnostic guide covering session management, privacy compliance, and best practices for logout handling and user switching. See SKILL-WEB.md and SKILL-MOBILE.md for implementation examples.
anonymize-doc
Detect and anonymize PII (SSN, cards, emails, phones, names) and business data (companies, revenue, costs, pricing). Use when handling sensitive files or user requests anonymization. Check-only or full anonymization with 5 strategies (mask/hash/pseudo/token/mixed). GDPR/HIPAA aware.
modeio-anonymization
Runs PII anonymization checks for text or JSON. Supports local regex masking in lite mode and server-side analysis in dynamic/strict/crossborder modes. Use when asked to anonymize data, redact PII, mask sensitive information, detect personal data, check for sensitive content, scrub credentials, or run Modeio anonymization.
desensitizer
Desensitize, anonymize, and mask sensitive data in documents, code, configs, and datasets. Use when someone asks to "remove PII", "anonymize data", "mask sensitive info", "desensitize a document", or needs to prepare data for sharing, demos, or testing without exposing real information.
decontextualize-text
Convert text with private context or internal dependencies into generic, unbiased expressions. Use for project decontextualization (handoff, open-source prep), methodology abstraction, cross-team sharing, anonymization. Includes path strings and file/folder names as they appear in text.
data-masking
Protects sensitive data by replacing, obscuring, or tokenizing PII before it reaches logs, analytics, or non-production environments. Use when handling credit cards, SSNs, emails, phone numbers, or any regulated personal data. Triggers on: PII, GDPR, PCI-DSS, HIPAA, personal data, credit card, SSN, sensitive data, data privacy, anonymization, pseudonymization.
knowledge-capture
Structured knowledge capture with anonymization gate for documents that may become public skills or references. Use when creating furikaeri, ADR, incident reports, or any document that could flow into a public repository.