revenue-optimizer
Monetization expert that analyzes codebases to discover features, calculate service costs, model usage patterns, and create data-driven pricing with revenue projections. Use when: (1) Analyzing app features and their costs, (2) Modeling user consumption and usage patterns, (3) Calculating ARPU, LTV, and revenue projections, (4) Setting optimal tier limits based on usage percentiles, (5) Creating pricing tiers with adequate margins, (6) Implementing payment systems (Stripe, etc.), (7) Break-even and profitability analysis, (8) Subscription and billing systems.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Monetization expert that analyzes codebases to discover features, calculate service costs, model usage patterns, and create data-driven pricing with revenue projections. Use when: (1) Analyzing app features and their costs, (2) Modeling user consumption and usage patterns, (3) Calculating ARPU, LTV, and revenue projections, (4) Setting optimal tier limits based on usage percentiles, (5) Creating pricing tiers with adequate margins, (6) Implementing payment systems (Stripe, etc.), (7) Break-even and profitability analysis, (8) Subscription and billing systems.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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