When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context.
79
64%
Does it follow best practices?
Impact
87%
1.11xAverage score across 6 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/marketing-psychology/SKILL.mdPricing psychology application
Three-tier structure
100%
100%
Middle tier as target
100%
100%
High-price anchor first
50%
50%
Inferior tier as foil
66%
77%
Recommended plan highlighted
100%
100%
Daily/unit price framing
100%
80%
Charm vs round pricing distinction
22%
44%
Rule-of-100 discount framing
30%
30%
Risk reversal copy
100%
100%
Immediate benefit emphasis
55%
55%
Option reduction guidance
75%
100%
Behavioral onboarding design
Progress visualization
100%
100%
Near-completion messaging
20%
100%
Open-loop re-engagement
100%
100%
First step simplicity
100%
100%
User customization step
100%
100%
Ownership before value ask
100%
100%
Escalating commitment
100%
100%
Motivation and prompt pairing
80%
100%
Peak moment design
100%
100%
Loss framing in re-engagement
100%
80%
Strategic budget allocation analysis
Top channel identified
100%
100%
Vital few focus
100%
100%
Constraint diagnosis
70%
100%
Barbell allocation structure
90%
70%
Second-order risk
100%
100%
Failure mode analysis
100%
100%
Loss framing in recommendation
33%
33%
Multi-touch awareness
33%
100%
Success metrics specificity
100%
100%
Survivorship bias caution
62%
75%
Opportunity cost explicit
50%
37%
Trust-building psychology for new brands
Authority signals recommended
100%
100%
Social proof with numbers
100%
100%
Vivid outcome examples
100%
100%
Reciprocity-first offer
100%
100%
Similarity or tribe positioning
100%
100%
Honest weakness admission
100%
100%
Risk reversal copy
100%
100%
Repetition/multi-channel presence
25%
75%
Contrast/before state shown
50%
100%
Proven principles over trendy tactics
100%
100%
Positive framing of statistics
100%
83%
Immediate benefit emphasis
83%
83%
Behavioral intervention design
BJ Fogg all three components
75%
100%
EAST dimensions covered
80%
80%
COM-B diagnosis present
100%
100%
Activation energy reduction
90%
100%
Default or pre-selection nudge
90%
100%
Simplified entry interface
100%
100%
Social proof or social comparison
25%
0%
Timely prompt design
100%
100%
Progress or goal mechanism
50%
100%
North Star or single metric focus
87%
100%
Incentive perverse effects considered
50%
87%
Growth flywheel and network effects strategy
Flywheel cycle articulated
58%
100%
Network effect design
70%
80%
Critical mass segment focus
50%
80%
Mimetic desire for supply side
25%
37%
Feedback loop identification
75%
100%
Switching cost strategy
12%
0%
Compounding channel investment
100%
100%
Exploration vs. exploitation balance
87%
87%
Reciprocity or free value first
50%
100%
Second-order effects noted
87%
100%
No survivorship bias in benchmarks
66%
83%
Single constraint identified first
100%
100%
9d4d29a
Table of Contents
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