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Behavior Design

ASecurity

Explain a customer behavior or improve a choice environment with behavioral science: attention and comprehension, motivation and progress, perceived risk, choice architecture, social information, memory and brand, pricing perception, and diffusion. Use when a design decision needs a mechanism and a testable change rather than a channel or a page rewrite.

2 stars
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Added 9/24/2026
ai-agentsaws

Security Analysis

A100/100

Pro scans all 3 files and shows the line behind each finding

Scanned 9/24/2026

$npx -y skills add MTEnt/special-skills --skill behavior-design --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: behavior-design
description: Explain a customer behavior or improve a choice environment with behavioral science: attention and comprehension, motivation and progress, perceived risk, choice architecture, social information, memory and brand, pricing perception, and diffusion. Use when a design decision needs a mechanism and a testable change rather than a channel or a page rewrite.
license: MIT
metadata:
  version: "2.0.0"
  author: MTEnt
---

# Behavior Design

Behavioral principles are hypotheses about a specific decision, not universal laws or permission to manipulate vulnerable people.

If `.agents/marketing-context.md` exists, read it first; it is the truth file every skill in this hub shares, and its evidence states are constraints. Read [behavioral-models.md](references/behavioral-models.md) for the model families, diagnostic method, and ethical boundary.

## Operating contract

1. Define the audience state, decision, context, current behavior, desired behavior, and evidence.
2. Identify capability, motivation, opportunity, comprehension, perceived risk, effort, memory, and social context before selecting a named model.
3. Use the smallest explanatory model that produces a testable design change; state competing explanations and what evidence distinguishes them.
4. Protect autonomy, consent, accessibility, vulnerable groups, and truthful presentation.

Do not claim causality from a framework alone or use defaults, framing, or social proof that misleads.

## Return

The diagnosis, applied principles, proposed artifact or experiment, risks, and disconfirming signal.

Attribution

MTEntMTEnt
View sourceSee grades on GitHubMore from MTEnt →
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