Pricing Strategy

Walks you through defining how to charge for your AI product or SaaS by asking questions one at a time: what costs you money per use, whether usage is predictable, pay-as-you-go versus subscription versus hybrid, and the critical real-time billing versus invoice tradeoff. It adapts based on whether you're selling to consumers, SMBs, or enterprise and helps you figure out pricing dimensions, custom currencies, and which payment infrastructure makes sense. Ends with a structured pricing strategy summary, MRR projection, and tool recommendations you can export as HTML or PDF. Most useful when you're stuck between billing models or trying to understand if you need prepaid credits or monthly invoices.

skills.sh installs: 180
GitHub stars: 2
last updated: Jun 3, 2026

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Install

$ npx -y skills add credyt/ai-skills --skill pricing-strategy --agent claude-code

Installs into .claude/skills of the current project.

Files

Pricing Strategy

Help the user define their pricing strategy through a structured conversation. Ask questions one at a time — wait for each answer before asking the next. Adapt follow-up questions based on what they tell you.

Render each question as a standalone UI element where supported (e.g. a choice selector, short text input, or multi-select). In plain text, ask them sequentially.

Work through these topics in order. Skip or combine naturally if answers make earlier questions redundant.

1. What does your product do?

"Tell me about your product — what does it do, and what do your users get value from?"

Ground all follow-up questions in their specific product and customer journey.

2. Who are your customers?

"Are your customers primarily individuals/consumers, small businesses, or enterprise teams?"

This affects which billing model fits:

Consumers / SMBs: tend to prefer prepaid, transparent pricing. Invoice billing creates friction.
Enterprise: often require invoices, procurement approval, and post-paid billing. Real-time prepaid wallets may not fit procurement workflows.