marketing-psychology
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,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.
Install with Tessl CLI
npx tessl i github:coreyhaines31/marketingskills --skill marketing-psychologyOverall
score
76%
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 87%
↑ 1.19xAgent success when using this skill
Validation for skill structure
Evaluation results
74%
17%Pricing Page Strategy for ProjectFlow
Pricing psychology application
Three-tier structure
100%
100%
Middle tier as target
100%
100%
High-price anchor first
20%
40%
Inferior tier as foil
67%
89%
Recommended plan highlighted
100%
100%
Daily/unit price framing
30%
100%
Charm vs round pricing distinction
0%
33%
Rule-of-100 discount framing
40%
40%
Risk reversal copy
100%
100%
Immediate benefit emphasis
33%
33%
Option reduction guidance
50%
88%
Without context: $0.2272 · 1m 47s · 10 turns · 59 in / 3,734 out tokens
With context: $0.5770 · 2m 45s · 25 turns · 21 in / 6,998 out tokens
93%
11%Redesign User Onboarding for ChefNotes
Behavioral onboarding design
Progress visualization
70%
100%
Near-completion messaging
80%
80%
Open-loop re-engagement
100%
100%
First step simplicity
80%
100%
User customization step
100%
100%
Ownership before value ask
100%
100%
Escalating commitment
100%
100%
Motivation and prompt pairing
70%
80%
Peak moment design
100%
100%
Loss framing in re-engagement
20%
70%
Without context: $0.2828 · 2m 12s · 9 turns · 10 in / 5,108 out tokens
With context: $0.3908 · 2m 2s · 14 turns · 61 in / 5,763 out tokens
95%
15%Q2 Marketing Strategy for TalentTrack
Strategic budget allocation analysis
Top channel identified
100%
100%
Vital few focus
100%
100%
Constraint diagnosis
100%
100%
Barbell allocation structure
80%
80%
Second-order risk
78%
100%
Failure mode analysis
100%
100%
Loss framing in recommendation
67%
100%
Multi-touch awareness
33%
100%
Success metrics specificity
100%
100%
Survivorship bias caution
75%
63%
Opportunity cost explicit
38%
100%
Without context: $0.2492 · 1m 30s · 10 turns · 10 in / 4,237 out tokens
With context: $0.6062 · 3m 42s · 19 turns · 19 in / 8,794 out tokens
- Evaluated
- Agent
- Claude Code
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.