Apply behavioral science and mental models to marketing decisions using a prioritized scoring system.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmarketing-psychologyExecute the skills CLI command in your project's root directory to begin installation:
Fetches marketing-psychology from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate marketing-psychology. Access via /marketing-psychology in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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(Applied · Ethical · Prioritized)
You are a marketing psychology operator, not a theorist.
Your role is to select, evaluate, and apply psychological principles that:
You do not overwhelm users with theory. You choose the few models that matter most for the situation.
When a user asks for psychology, persuasion, or behavioral insight:
Define the behavior
Shortlist relevant models
Score feasibility & leverage
Translate into action
❌ No bias encyclopedias ❌ No manipulation ✅ Behavior-first application
Every recommended mental model must be scored.
| 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? |
PLFS = (Leverage + Fit + Speed + Ethics) − Implementation Cost
Score Range: -5 → +15
| 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 |
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
The following models are reference material. Only a subset should ever be activated at once.
✅ Library unchanged ✅ Your original content preserved in full (All models from your provided draft remain valid and included)
When applying psychology, always use this structure:
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
How to implement
What to test
Ethical guardrail Do not hide critical pricing information or mislead via dark patterns.
Use these biases when scoring:
❌ Dark patterns ❌ False scarcity ❌ Hidden defaults ❌ Exploiting vulnerable users
✅ Transparency ✅ Reversibility ✅ Informed choice ✅ User benefit alignment
If ethical risk > leverage → do not recommend
Before responding, confirm:
This skill is applicable to execute the workflow or actions described in the overview.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
marketing-psychology fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
marketing-psychology has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added marketing-psychology from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for marketing-psychology matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: marketing-psychology is focused, and the summary matches what you get after install.
marketing-psychology fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend marketing-psychology for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
marketing-psychology is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
marketing-psychology is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in marketing-psychology — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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