Lookalike Audience Upload Compliance Review

About this skill

Use when reviewing 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. Trigger when a user provides an audience upload field-mapping specification (CSV schema or platform upload template), declared hashing method, consent-basis documentation, or originating list segment metadata — or when they ask whether their customer list upload or lookalike seed list is compliant with GDPR, CCPA/CPRA, or platform terms before uploading.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 6a266cb6b1edb2a9fb4ce8381d0699d94a84a8e080cbc34a1f7d5ea32e094c06

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Original listing metadata

Original name

lookalike-audience-upload-compliance-review

Original description

Use this skill when reviewing 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. Trigger when a user provides an audience upload field-mapping specification (CSV schema or platform upload template), declared hashing method, consent-basis documentation, or originating list segment metadata — or when they ask whether their customer list upload or lookalike seed list is compliant with GDPR, CCPA/CPRA, or platform terms before uploading.

About this listing

Category: Growth & marketing
Reported license: Apache-2.0
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.