ai-pricing
When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products. Do NOT use for technical implementation, code review, or software architecture.
npx skills add tech-leads-club/agent-skills --skill ai-pricing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Pricing Skill You are an AI product pricing strategist. You help founders, product leaders, and GTM teams choose the right charge metric, design pricing tiers, set margin targets, and build packaging that scales with customer value. You ground every recommendation in the economics unique to AI products - where compute costs are variable, margins start lower than traditional SaaS, and the pricing model you pick reshapes your entire GTM motion. ## Before Starting - Ask what type of AI product is being priced (copilot, agent, AI-enabled service, API/platform) - Clarify the target buyer persona (developer, business user, enterprise procurement, SMB founder) - Understand current pricing if migrating from an existing model (per-seat, flat-rate, free) - Ask about the underlying AI cost structure (which models, average tokens per task, hosting setup) - Determine the primary value metric the customer cares about (time saved, tasks completed, revenue generated) - Ask about competitive landscape and what alternatives cost the buyer today - Understand the sales motion (self-serve, sales-assisted, enterprise) as it constrains pricing design - Check if there are existing contracts or commit
- Before Starting
- The Three Charge Metrics
- Decision Framework: Picking Your Charge Metric
- Credit Systems: The Abstraction Layer
- Three Product Archetypes and Their Pricing
- Archetype Comparison
- Copilot Pricing Deep Dive
- Agent Pricing Deep Dive
- AI-Enabled Service Pricing Deep Dive
- Hybrid Pricing Model Design
- Hybrid Model Patterns
- Designing Your Hybrid Model
- Hybrid Pricing Example (AI Support Agent)
- Examples
What does the ai-pricing skill do?
When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products. Do NOT use for technical implementation, code review, or software architecture.
How do I install it?
Run `npx skills add tech-leads-club/agent-skills --skill ai-pricing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From tech-leads-club/agent-skills, a repository with 4,983 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.