loss-aversion-engine

Configure streak decay, gear degradation, and recovery mechanics to reduce user churn.

Updated Aug 27, 2026

Search Tags:#engagement #gamification #retention #streak #loss-aversion #behavioral-psychology

Ready to run

npx skills add https://github.com/Techlemariam/IronForge --skill loss-aversion-engine

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: loss-aversion-engine
Source: https://github.com/Techlemariam/IronForge/tree/main/.agent/skills/loss-aversion-engine
Command: npx skills add https://github.com/Techlemariam/IronForge --skill loss-aversion-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Implements loss aversion mechanics to increase user retention by leveraging the greater impact of losses over gains.

Core Features & Use Cases

Streak System (The Chain): Manage streak decay and visual indicators to encourage consistent activity.
Gear Degradation: Model equipment wear to motivate maintenance and continued engagement.
Rank Decay: Subtly reduce leaderboard positions for inactivity to incentivize return.
Sunk Cost Amplification: Highlight past progress to discourage abandonment.
Recovery Mechanics (Prevent Rage Quit): Streak freeze, comeback bonuses, and Amnesty Week to support re-engagement.

Quick Start

Configure the loss-aversion-engine within your engagement workflow to begin applying streak penalties and comeback bonuses for returning users.

Frequently Asked Questions about loss-aversion-engine

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I add loss aversion mechanics to a habit-forming app?▼

To add loss aversion mechanics, implement configurable decay rules for streaks, gear, and ranks alongside visual progress indicators. This makes losses salient to reduce churn in habit-forming apps.

What is loss aversion in gamification and retention design?▼

Loss aversion in gamification leverages the greater psychological impact of losses over gains to boost retention. It uses streak decay and sunk cost amplification to discourage abandonment and motivate return visits.

Can I use streak freeze and recovery mechanics to prevent rage quitting?▼

Yes, you can prevent rage quitting by configuring recovery mechanics like streak freezes, comeback bonuses, and Amnesty Week. These features support re-engagement after inactivity rather than punishing users permanently.

How does rank decay and gear degradation improve user retention?▼

Rank decay and gear degradation improve retention by subtly reducing leaderboard positions and modeling equipment wear for inactive users. This incentivizes return visits to recover lost status and maintain progress.

What are the limitations of using loss aversion for app engagement?▼

The primary limitation of using loss aversion is the risk of rage quitting if penalties feel too harsh. You must balance decay rules with sufficient recovery mechanics like streak freezes to prevent users from abandoning the app entirely.