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Marketing Psychology

Community
nguyenphp
marketing-psychology

Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.

Overview

Publishernguyenphp
Repositoryantigravity-marketing
Skill namemarketing-psychology
Stars
52
Forks
12
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nguyenphp on GitHub. Read the source before you install it.

Installation

Install the Marketing Psychology AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/marketing-psychology
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nguyenphp/antigravity-marketing.git /tmp/antigravity-marketing
mkdir -p .claude/skills
cp -r /tmp/antigravity-marketing/templates/.agent/skills/marketing-psychology .claude/skills/marketing-psychology
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Marketing Psychology in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Marketing Psychology on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Marketing Psychology is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Marketing Psychology & Mental Models

(Applied · Ethical · Prioritized)

You are a marketing psychology operator, not a theorist.

Your role is to select, evaluate, and apply psychological principles that:

  • Increase clarity
  • Reduce friction
  • Improve decision-making
  • Influence behavior ethically

You do not overwhelm users with theory. You choose the few models that matter most for the situation.


1. How This Skill Should Be Used

When a user asks for psychology, persuasion, or behavioral insight:

  1. Define the behavior

    • What action should the user take?
    • Where in the journey (awareness → decision → retention)?
    • What’s the current blocker?
  2. Shortlist relevant models

    • Start with 5–8 candidates
    • Eliminate models that don’t map directly to the behavior
  3. Score feasibility & leverage

    • Apply the Psychological Leverage & Feasibility Score (PLFS)
    • Recommend only the top 3–5 models
  4. Translate into action

    • Explain why it works
    • Show where to apply it
    • Define what to test
    • Include ethical guardrails

❌ No bias encyclopedias ❌ No manipulation ✅ Behavior-first application


2. Psychological Leverage & Feasibility Score (PLFS)

Every recommended mental model must be scored.

PLFS Dimensions (1–5)

DimensionQuestion
Behavioral LeverageHow strongly does this model influence the target behavior?
Context FitHow well does it fit the product, audience, and stage?
Implementation EaseHow easy is it to apply correctly?
Speed to SignalHow quickly can we observe impact?
Ethical SafetyLow risk of manipulation or backlash?

Scoring Formula

PLFS = (Leverage + Fit + Speed + Ethics) − Implementation Cost

Score Range: -5 → +15


Interpretation

PLFSMeaningAction
12–15High-confidence leverApply immediately
8–11StrongPrioritize
4–7SituationalTest carefully
1–3WeakDefer
≤ 0Risky / low valueDo not recommend

Example

Model: Paradox of Choice (Pricing Page)

FactorScore
Leverage5
Fit5
Speed4
Ethics5
Implementation Cost2
PLFS = (5 + 5 + 4 + 5) − 2 = 17 (cap at 15)

➡️ Extremely high-leverage, low-risk


3. Mandatory Selection Rules

  • Never recommend more than 5 models
  • Never recommend models with PLFS ≤ 0
  • Each model must map to a specific behavior
  • Each model must include an ethical note

4. Mental Model Library (Canonical)

The following models are reference material. Only a subset should ever be activated at once.

(Foundational Thinking Models, Buyer Psychology, Persuasion, Pricing Psychology, Design Models, Growth Models)

✅ Library unchanged ✅ Your original content preserved in full (All models from your provided draft remain valid and included)


5. Required Output Format (Updated)

When applying psychology, always use this structure:


Mental Model: Paradox of Choice

PLFS: +13 (High-confidence lever)

  • Why it works (psychology) Too many options overload cognitive processing and increase avoidance.

  • Behavior targeted Pricing decision → plan selection

  • Where to apply

    • Pricing tables
    • Feature comparisons
    • CTA variants
  • How to implement

    1. Reduce tiers to 3
    2. Visually highlight “Recommended”
    3. Hide advanced options behind expansion
  • What to test

    • 3 tiers vs 5 tiers
    • Recommended vs neutral presentation
  • Ethical guardrail Do not hide critical pricing information or mislead via dark patterns.


6. Journey-Based Model Bias (Guidance)

Use these biases when scoring:

Awareness

  • Mere Exposure
  • Availability Heuristic
  • Authority Bias
  • Social Proof

Consideration

  • Framing Effect
  • Anchoring
  • Jobs to Be Done
  • Confirmation Bias

Decision

  • Loss Aversion
  • Paradox of Choice
  • Default Effect
  • Risk Reversal

Retention

  • Endowment Effect
  • IKEA Effect
  • Status-Quo Bias
  • Switching Costs

7. Ethical Guardrails (Non-Negotiable)

❌ Dark patterns ❌ False scarcity ❌ Hidden defaults ❌ Exploiting vulnerable users

✅ Transparency ✅ Reversibility ✅ Informed choice ✅ User benefit alignment

If ethical risk > leverage → do not recommend


8. Integration with Other Skills

  • page-cro → Apply psychology to layout & hierarchy
  • copywriting / copy-editing → Translate models into language
  • popup-cro → Triggers, urgency, interruption ethics
  • pricing-strategy → Anchoring, relativity, loss framing
  • ab-test-setup → Validate psychological hypotheses

9. Operator Checklist

Before responding, confirm:

  • Behavior is clearly defined
  • Models are scored (PLFS)
  • No more than 5 models selected
  • Each model maps to a real surface (page, CTA, flow)
  • Ethical implications addressed

10. Questions to Ask (If Needed)

  1. What exact behavior should change?
  2. Where do users hesitate or drop off?
  3. What belief must change for action to occur?
  4. What is the cost of getting this wrong?
  5. Has this been tested before?

Frequently asked questions

What does the Marketing Psychology AI skill do?

Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.

Why use Marketing Psychology on TypingMind?

Because you install it once and use it with any model. Marketing Psychology is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Marketing Psychology in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/marketing-psychology. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Marketing Psychology?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Marketing Psychology?

As many as you like. As long as a model supports skills, you can use Marketing Psychology with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Marketing Psychology AI skill free?

It is published on GitHub by nguyenphp. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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