marketing-psychology▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Apply behavioral science and mental models to marketing decisions using a prioritized scoring system.
- ›Scores psychological principles using the Psychological Leverage & Feasibility Score (PLFS), which evaluates behavioral leverage, context fit, implementation ease, speed to signal, and ethical safety
- ›Recommends only top 3–5 models per situation, mapped to specific behaviors and journey stages (awareness, consideration, decision, retention)
- ›Includes a canonical library of mental
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:
-
Define the behavior
- What action should the user take?
- Where in the journey (awareness → decision → retention)?
- What’s the current blocker?
-
Shortlist relevant models
- Start with 5–8 candidates
- Eliminate models that don’t map directly to the behavior
-
Score feasibility & leverage
- Apply the Psychological Leverage & Feasibility Score (PLFS)
- Recommend only the top 3–5 models
-
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)
| Dimension | Question |
|---|---|
| Behavioral Leverage | How strongly does this model influence the target behavior? |
| Context Fit | How well does it fit the product, audience, and stage? |
| Implementation Ease | How easy is it to apply correctly? |
| Speed to Signal | How quickly can we observe impact? |
| Ethical Safety | Low risk of manipulation or backlash? |
Scoring Formula
PLFS = (Leverage + Fit + Speed + Ethics) − Implementation Cost
Score Range: -5 → +15
Interpretation
| PLFS | Meaning | Action |
|---|---|---|
| 12–15 | High-confidence lever | Apply immediately |
| 8–11 | Strong | Prioritize |
| 4–7 | Situational | Test carefully |
| 1–3 | Weak | Defer |
| ≤ 0 | Risky / low value | Do not recommend |
Example
Model: Paradox of Choice (Pricing Page)
| Factor | Score |
|---|---|
| Leverage | 5 |
| Fit | 5 |
| Speed | 4 |
| Ethics | 5 |
| Implementation Cost | 2 |
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
- Reduce tiers to 3
- Visually highlight “Recommended”
- 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)
- What exact behavior should change?
- Where do users hesitate or drop off?
- What belief must change for action to occur?
- What is the cost of getting this wrong?
- Has this been tested before?
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
How to use marketing-psychology on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add marketing-psychology
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches marketing-psychology from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate marketing-psychology. Access the skill through slash commands (e.g., /marketing-psychology) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★64 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
marketing-psychology fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Layla Jackson· Dec 28, 2024
marketing-psychology has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Liam Lopez· Dec 12, 2024
We added marketing-psychology from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kaira Thompson· Dec 8, 2024
Registry listing for marketing-psychology matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Zara Abebe· Dec 8, 2024
Solid pick for teams standardizing on skills: marketing-psychology is focused, and the summary matches what you get after install.
- ★★★★★Kiara Kim· Dec 8, 2024
marketing-psychology fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ishan Park· Nov 27, 2024
I recommend marketing-psychology for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kaira Garcia· Nov 27, 2024
marketing-psychology is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Rahul Santra· Nov 19, 2024
marketing-psychology is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Layla Thompson· Nov 19, 2024
Useful defaults in marketing-psychology — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 64