Identify and classify PII in Snowflake and dbt workflows.
npx skills add https://github.com/nrakow/ae-skills-dev --skill pii-handling
Please help me install this Agent Skill. Skill: pii-handling Source: https://github.com/nrakow/ae-skills-dev/tree/main/skills/pii-handling Command: npx skills add https://github.com/nrakow/ae-skills-dev --skill pii-handling
Identify, classify, and protect personal data across analytics pipelines to meet GDPR, CCPA, and HIPAA compliance, reducing risk of exposure and regulatory fines.
Run the data-stack-context to capture your environment and enable PII protection across projects.
High-intent search queries and answers about installing and using this skill.
To identify and classify PII across Snowflake and dbt pipelines, you apply dbt tagging for PII fields and run automated discovery to track data lineage. This enables compliant data handling and reduces exposure risk across your environments.
The best way to pseudonymize data for development environments is by applying reusable masking and pseudonymization macros in dbt. This ensures safe analytics by obscuring original values while maintaining referential integrity for testing.
Yes, you can use dbt tagging to support GDPR and CCPA compliance by enabling DSAR-ready workflows. This approach provides retention policy guidance and auditing checklists to track personal data lineage across your analytics stack.
To audit data assets for PHI and PII governance, you utilize a PII audit checklist and testing routines integrated with your data-stack-context. This validates masking policies and produces governance documentation for regulatory compliance.
Yes, you need to configure the data-stack-context to capture your environment before applying PII protection. This setup step is required to correctly identify personal data and enable consistent masking across all development and production projects.
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