This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Apply behavioral psychology, cognitive biases, and 70+ mental models to marketing for conversion optimization, pricing, copy, and campaigns. Use for persuasion, behavioral science, why people buy, consumer behavior, or neuromarketing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Applied behavioral science for marketing — identifying which psychological principles apply to specific challenges and showing exactly how to implement them. The skill diagnoses behavioral barriers, prescribes 2-3 relevant principles from a catalog of 70+ mental models, and turns them into concrete, testable changes to landing pages, pricing, email, copy, and ads.
What most shapes this skill's output is the asset and the behavior you want from it, since the skill prescribes only 2-3 principles out of 70+. Settle the inputs below before producing anything. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.
references/application-playbooks.md. Whether the goal is a click, a purchase, a share or a return visit narrows the catalog to the principles that address that barrier.If a marketing context document exists (the one the marketing-context skill builds), start from it and ask only about the gaps. Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.
references/mental-models.mdreferences/application-playbooks.mdLoad the reference that matches the task — keep this file lean and pull detail on demand:
scripts/persuasion_auditor.py — audits copy for Cialdini's 7 principles plus behavioral economics techniques; flags what's applied and what's missing.scripts/cognitive_bias_checker.py — identifies cognitive biases leveraged (or missed) in copy, pricing pages, and landing pages.scripts/pricing_psychology_analyzer.py — analyzes pricing page structure for anchoring, decoy effect, charm pricing, framing, and tier design.python scripts/persuasion_auditor.py page.html
python scripts/cognitive_bias_checker.py pricing_page.html --json
python scripts/pricing_psychology_analyzer.py pricing.json
In Scope: Behavioral psychology principles applied to marketing, conversion optimization, pricing strategy, copy improvement, campaign design. 70+ mental models with implementation guides.
Out of Scope: Academic psychology research, clinical applications, UX research methodology (use product-team), A/B test statistical analysis tools, consumer psychology outside marketing context.
Limitations: Psychology provides hypotheses, not certainties. All changes must be A/B tested. What works for consumer SaaS may not work for enterprise. Cultural context matters significantly. Principles should be applied ethically — persuasion that helps customers make good decisions, not manipulation.
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.