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monetize-kit

v1.1.0

Published

Claude Code skill: AI-driven monetization planning for indie developers

Readme

MonetizeKit

AI-driven monetization planning for indie developers — delivered as a Claude Code skill.

Install

npx monetize-kit

This copies the MonetizeKit skill to ~/.claude/skills/monetize/. Reload Claude Code, then run /monetize to start your monetization planning session.

What You Get

An adaptive interview captures your project, jurisdiction, infrastructure, marketing presence, budget, and dealbreakers. MonetizeKit then generates ten jurisdiction-specific, project-specific artifacts:

  • PROJECT-ANALYSIS.md — Project fit assessment and monetization viability
  • CREATOR-PROFILE.md — Your positioning as an indie developer
  • AUDIENCE.md — Target audience and ideal customer profile
  • LEGAL-SETUP.md — Entity formation and compliance steps for your jurisdiction
  • PAYMENTS-SETUP.md — Payment processor setup with your existing infrastructure
  • STRATEGY.md — Monetization model recommendation (SaaS, one-time, usage-based, etc.)
  • PRICING.md — Pricing tiers with local-currency anchoring
  • MARKETING-PLAN.md — Channel-specific launch and growth plan
  • ROADMAP.md — Milestone-based execution roadmap with concrete estimates
  • METRICS.md — KPIs and thresholds for your first 90 days

How It Works

Phase 1 — Interview: MonetizeKit asks targeted questions across six topics: project description, jurisdiction (country), existing infrastructure, marketing presence, budget, and dealbreakers. Jurisdiction is captured in the first two turns so every subsequent recommendation is country-specific. The interview cannot be skipped — specificity requires real inputs.

Phase 2 — Artifact generation: Once the interview is complete, MonetizeKit generates all ten artifacts in sequence. Each artifact uses your actual answers — no generic advice, no placeholder text. US and Brazil are fully supported with jurisdiction-specific legal, tax, and payment guidance.

Requirements

  • Node.js >= 20
  • Claude Code

License

MIT