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Privacy Impact Assessment Guide
Generate audit-ready privacy impact assessments, risk registers, and data flow maps for regulatory compliance.
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You say
Conduct a data protection impact assessment for a new customer loyalty platform. The platform collects email, purchase history, and location data from EU customers. A third-party analytics provider is involved and data is transferred to the US. We need to assess lawful basis, transfer safeguards, consent, and data subject rights.
Your agent does
The skill produces a DPIA screening outcome confirming that a full assessment is required, followed by a processing activity profile, a data flow map covering collection through deletion, a privacy risk register identifying risks across transfer safeguards, consent, data minimisation, and data subject rights, a regulatory alignment summary referencing GDPR Articles 6, 28, 35, and 44, a prioritised remediation plan with placeholder owners, and a validation checklist for items requiring legal or data protection officer review. All outputs use clear placeholder markers for items requiring organisational confirmation.
What you get
About this skill
What it does
This skill transforms raw processing context, data inventory, and system architectures into professional privacy impact assessments (PIA) and data protection impact assessments (DPIA). It guides the user through the complex process of identifying privacy risks, mapping data flows from collection to deletion, and building audit-ready documentation for regulatory compliance.
High-Level Logic
The skill acts as a privacy architect. It collects inputs on data subjects, categories, and purposes, then layers these against your chosen regulatory framework (e.g., GDPR, CCPA/CPRA, NIST) to generate structured outputs. It automatically flags high-risk activities like cross-border transfers or automated decision-making while maintaining a strict boundary against providing unauthorized legal advice.
Why use this skill
- Beyond Simple Prompting: While a standard AI might give generic advice, this skill follows a rigorous assessment workflow, ensuring no data lifecycle stage (storage, sharing, retention) is overlooked.
- Audit Readiness: It generates structured risk registers and remediation plans that use professional privacy terminology and clear accountability markers.
- Framework Agnostic: It adapts to your specific jurisdiction or internal organizational standards rather than assuming a "one size fits all" approach.
Supported Outputs
Users receive structured markdown or text reports including PIA screenings, processing activity profiles, data flow summaries, remediation trackers, and evidence checklists for internal stakeholders or regulators.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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