Does this skill promote manipulative 'dark patterns'?

No. It includes strict ethical guardrails and failure mode checks to ensure that framing remains honest, credible, and based on real tradeoffs rather than invented panic or fear-mongering.

What is the primary goal of the Loss Aversion Designer skill?

The goal is to identify where framing an outcome as a potential loss is more effective than framing it as a gain, helping to drive user action through the psychological principle that losses feel larger than equivalent gains.

Can I use this for UI/UX design components?

Yes, it is specifically designed to provide framing strategies for UX copy, alert systems, and interaction design where user motivation is critical.

How does it handle different audience types?

The skill includes a decision matrix that adjusts the framing strategy based on the target audience's risk tolerance, their current stage of trust with the brand, and the time horizon of the consequences.

Loss Aversion Designer | Claude Code Behavioral Skill

The Loss Aversion Designer skill transforms Claude into a behavioral economist capable of engineering the 'pain of inaction' for marketing copy, UX design, and pricing strategies. By leveraging prospect theory and framing effects, it identifies when emphasizing a potential loss will outperform traditional gain-based messaging. The skill uses a rigorous five-step execution framework—from setting reference points to calibrating intensity—ensuring that urgency remains credible and ethical while effectively motivating user behavior across various trust stages and risk profiles.

Características Principales

01Concrete consequence mapping to translate abstract risks into near-term pain points

02Psychological framework integration including prospect theory and omission bias

03Ethical guardrail enforcement to prevent fear-mongering and preserve brand trust

0440,341 GitHub stars

05Reference-point identification to establish psychological baselines for audiences

06Decision matrix for calibrating framing intensity based on trust and risk tolerance

Casos de Uso

01Developing security-focused UX copy that highlights the specific risks of system inaction

02Refining SaaS pricing strategies to emphasize the operational costs of manual workflows

03Optimizing e-commerce checkout flows by framing missed discounts as avoided losses

Tieline — product intent grounded in code

Loss Aversion Designer

Características Principales

Casos de Uso

Brand Voice Engine

Market Research

Social Graph Ranker

Características Principales

Casos de Uso