SkillsLib.ai

Game Economy Balancer

Analyze and balance game economy systems, currency flows, and monetization mechanics

4.0(21 reviews)
100+ downloads
Updated Sep 2026
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What You Can Do

You can model complex game economies to detect systemic failures, simulate long-term player spending across 6-12 month lifespans, and identify second-order effects like inflation cascades, retention cliffs, and whale dependency. Claude processes interconnected currency flows, progression pacing, and monetization mechanics to generate optimization recommendations grounded in player behavior theory.

Features

Currency flow analysis

map resource generation, consumption rates, and sink mechanics across all player segments

Progression pacing simulation

model time-to-max, engagement curves, and identify velocity imbalances causing retention cliffs

Monetization mechanic audit

stress-test pricing strategies, battle pass economics, and free-to-play conversion funnels

Inflation/deflation modeling

simulate long-term resource accumulation scenarios to detect runaway power creep or economic collapse

Pay-to-win perception detection

analyze power delta between free and paying players across progression milestones

Feedback loop identification

uncover reinforcing cycles causing whale dependency or pay-gate frustration

Seasonal economy design

balance limited-time rewards, event currencies, and soft vs. hard caps on progression velocity

Competitor benchmarking

compare your economy structure against published pricing and progression data from similar titles

Example Output

Economy Audit Output:

  • Current average player LTV: $12.50 at 60-day retention
  • Identified inflation cascade: Daily quest rewards @ 500 gold/day × 365 = 182.5K gold/year. Premium item cost: 50K gold. Players reach soft cap by day 90.
  • Recommendation: Introduce 3-tier gold sinks (cosmetics 25K, progression 75K, limited items 200K) or reduce quest rewards 15% and add time-gated dungeons.

Monetization Stress Test:

  • Free-to-play players reach progression plateau at 40 hours; tier-2 spenders at 60 hours
  • Power delta: 35% stat advantage for $19.99 battle pass (perceived pay-to-win risk)
  • Recommendation: Cap battle pass stat bonuses to 12%, shift premium value to cosmetics/convenience

Retention Cliff Analysis:

  • Day 7 retention: 35% (healthy)
  • Day 30 retention: 18% (cliff at day 14 when starter currency depletes)
  • Root cause: No mid-game monetization hook between tutorial and endgame
  • Recommendation: Introduce seasonal progression track at day 8 to re-engage tier-1 spenders

What's Included

  • SKILL.md instruction file for Claude economy analysis workflows:
  • Currency flow mapping template (resource generation, sinks, player segments):
  • 6-month economy simulation framework with spending cohort models:
  • Pay-to-win perception rubric (stat deltas, convenience, cosmetics tiers):
  • Monetization benchmark checklist (pricing psychology, conversion funnel validation):
  • Progression velocity calculator (time-to-max, engagement curve targets):

Who It's For

  • Game designers balancing economy systems and progression pacing
  • Monetization leads optimizing pricing strategies and conversion funnels
  • Game producers auditing live economies showing negative KPI trends
  • Economy architects designing currency ecosystems for new titles or features
  • Live ops managers stress-testing seasonal rewards and battle pass mechanics

Best For

  • Pre-launch economy audits and stress testing
  • Long-term inflation/deflation scenario modeling (6-12 month projections)
  • Free-to-play progression vs. monetization conversion balancing
  • Pay-to-win perception analysis and power delta assessment
  • Identifying feedback loops causing retention cliffs or resource starvation
  • Seasonal reward structure design and battle pass economy validation
  • Competitor pricing and progression benchmarking

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