From vanguard-frontier-agentic
Reviews custom-audience and lookalike-audience upload specs for hashing adequacy, PII field scope, consent-basis validity, and platform restrictions (Meta, Google, LinkedIn, TikTok) against GDPR, CCPA/CPRA, and platform terms.
How this skill is triggered — by the user, by Claude, or both
Slash command
/vanguard-frontier-agentic:lookalike-audience-upload-compliance-reviewThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill reviews custom-audience and lookalike-audience upload specifications for hashing adequacy, PII field scope, consent-basis validity, and platform data-sharing restrictions before the upload is submitted to Meta, Google, LinkedIn, or TikTok. Customer list uploads are one of the most common data-sharing vectors in marketing operations: a brand transmits personal data — email, phone, nam...
This skill reviews custom-audience and lookalike-audience upload specifications for hashing adequacy, PII field scope, consent-basis validity, and platform data-sharing restrictions before the upload is submitted to Meta, Google, LinkedIn, or TikTok. Customer list uploads are one of the most common data-sharing vectors in marketing operations: a brand transmits personal data — email, phone, name, address — to an ad platform under the guise of audience matching. The legal basis, the scope of consent granted, the minimality of the field set, and the reversibility of the hashing method all determine whether the upload is a lawful data-sharing arrangement or an unauthorized third-party disclosure that violates GDPR Article 5 and 6, CCPA/CPRA §1798.100, and platform terms. The review catches underhashed identifiers, oversized field sets, consent-scope mismatches, and re-identification surfaces before the upload fires.
Load these only when needed:
Return, at minimum:
npx claudepluginhub raishin/vanguard-frontier-agentic --plugin vanguard-frontier-agenticReviews ad-platform audience targeting and AI feature usage for protected-class discrimination risk under FHA, ECOA, and EU AI Act. For housing, credit, employment, or insurance campaigns using Meta Advantage+, Google broad match, lookalike seeds, or automated bidding.
Guides DPIA for marketing analytics including profiling, behavioral targeting, cross-device tracking, and adtech. Covers GDPR Art. 22, ePrivacy cookie consent, PECR, legitimate interest balancing.
Creates audience segments in CRM, email, or ad platforms based on behavioral, demographic, or engagement criteria. Supports RFM modeling and lifecycle segmentation.