building-data-dictionary-with-consent-class

What problem does it solve?

This Skill helps teams create a field-by-field data dictionary that captures both technical schema details and privacy-critical consent classification so they can answer data subject requests and pass privacy reviews with confidence.

Core Features & Use Cases

• Per-field inventory: Documents name, type, nullability, semantic class, lawful basis, and sensitivity for each field in a dataset.
• Consent classification: Distinguishes collected, inferred, derived, public, and synthetic fields so privacy scope is accurate.
• DSR readiness: Maps access, portability, deletion, rectification, and propagation across downstream copies, embeddings, caches, and snapshots.
• Use case: A SaaS team with user profiles, clickstream events, and model outputs can use this Skill to build a legally defensible inventory for GDPR and CCPA response workflows.

Quick Start

Ask Claude to inventory your existing schema and build a consent-classified data dictionary for your user-related tables, including DSR scope, lineage, and lawful basis.