Can it detect AI hallucinations in marketing copy?

Yes, the skill includes a specific quality gate for AI content, checking for statistics without citations, vague claims, phantom references, and context leakage.

Does it support Dutch language marketing assets?

Yes, the skill is natively configured for nl-BE (Flemish/Dutch) but applies universal marketing science principles applicable to any language.

What makes the 'Marketing Science' score unique?

It evaluates whether the asset follows proven growth laws, such as focusing on penetration over loyalty and ensuring the presence of Category Entry Points (CEPs).

What dimensions does the Marketing QA skill score?

It scores six key dimensions: Brand Consistency (20%), Content Quality (20%), Strategic Fit (15%), Technical Accuracy (10%), Compliance (10%), and Marketing Science (25%).

How do I trigger a quality review?

You can trigger a review by using commands like 'QA', 'quality check', 'review my output', or 'score this' when interacting with Claude Code.

Marketing QA & Science Review

Name: Marketing QA & Science Review
Author: iclaudioo

byiclaudioo

0•

Marketing Automation

Performs rigorous quality assurance reviews on marketing assets using evidence-based marketing science and brand consistency metrics.

The Marketing QA skill acts as a critical editor and brand guardian, ensuring that marketing output is scientifically sound and strategically aligned before publication. By utilizing a weighted scorecard based on Deming's quality management and Ehrenberg-Bass marketing science, it evaluates assets for brand consistency, ethical behavioral science, and technical accuracy. It is designed to transform generic AI-generated content into high-performing, evidence-backed marketing material while flagging critical risks like dark patterns or lack of distinctive brand assets.

Key Features

01Ethical marketing audit to prevent dark patterns and fake scarcity

02AI-generated content verification to catch hallucinations and generic claims

03Structured feedback loop with severity levels (Critical to Suggestion)

040 GitHub stars

05Ehrenberg-Bass compliance checks for reach and mental availability focus

06Weighted 100-point quality scorecard across six marketing dimensions

Use Cases

01Auditing marketing strategies against evidence-based growth frameworks

02Verifying brand voice and distinctive brand asset (DBA) consistency

03Final sign-off for ad campaigns, email sequences, and blog content

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add iclaudioo/marketing-science-skills marketing-qa

For use in Claude.ai and ChatGPT

Key Features

01Ethical marketing audit to prevent dark patterns and fake scarcity

02AI-generated content verification to catch hallucinations and generic claims

03Structured feedback loop with severity levels (Critical to Suggestion)

040 GitHub stars

05Ehrenberg-Bass compliance checks for reach and mental availability focus

06Weighted 100-point quality scorecard across six marketing dimensions

Use Cases

01Auditing marketing strategies against evidence-based growth frameworks

02Verifying brand voice and distinctive brand asset (DBA) consistency

03Final sign-off for ad campaigns, email sequences, and blog content

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add iclaudioo/marketing-science-skills marketing-qa

For use in Claude.ai and ChatGPT