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Product monetization

Skill tjboudreaux/cc-plugin-product-strategist/skills/product-monetization

Craft adaptable, user-first revenue systems spanning subscriptions, in-app economies, marketplaces, and token models.From its SKILL.md

Install
npx -y skills add tjboudreaux/cc-plugin-product-strategist --skill product-monetization

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.6 KB, as published. Nobody here has run it

Monetization Portfolio Design

Intent

  • Balance user delight with sustainable revenue across devices, regions, and regulatory regimes.
  • Prototype monetization mechanics early to validate willingness-to-pay and economic viability.

Inputs

  1. Current revenue streams + unit economics (ARPU, payer mix, whale dependency, gas costs).
  2. Competitive benchmarks (pricing ladders, battle passes, loot tables, NFT drops, premium tiers).
  3. Compliance requirements (app store rules, KYC/AML, regional taxes).

Workflow

  1. Value exchange mapping
    • Identify core value units (time, status, access, ownership) and user motivations.
  2. Portfolio ideation
    • Generate monetization concepts across low-friction (ads, referrals) to high-commitment (subscriptions, ownership, DeFi yield).
    • Define guardrails (pay-to-win avoidance, fairness, secondary market policy).
  3. Economic modeling
    • Build lightweight spreadsheets or tokenomics sims for each concept; stress-test retention impact and margin.
  4. Validation path
    • Outline pricing experiments (offer tests, bundles, limited-time events) and required instrumentation.
    • Align cross-functional sign-offs (legal, finance, platform, community).

Verification

  • Every monetization concept includes user value narrative + downside risks.
  • Economic models reviewed with finance/analytics; assumptions documented.
  • Experiments logged with success metrics (conversion, payer NPS, churn impact).

Keep looking

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