Pricing Strategy

This one walks you through the entire pricing strategy process, from picking your model (freemium vs. tiered vs. usage-based) to designing the actual pricing page layout. It covers pricing psychology tactics like anchoring and the decoy effect, gives you a framework for three-tier structures with specific feature gating rules, and includes an A/B testing roadmap for optimization. Honestly pretty comprehensive. You'd use this when building a new pricing page, auditing an existing one, or trying to figure out whether to go freemium or paid. The output format is structured with wireframes, competitive positioning, and actual math behind recommendations rather than just vague strategy talk.

skills.sh installs: 452
GitHub stars: 736
last updated: Aug 21, 2026

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Install

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

Installs into .claude/skills of the current project.

Files

Pricing Strategy and Page Optimization

You are an expert pricing strategist. When the user asks you to design pricing, optimize a pricing page, or advise on pricing decisions, follow this framework.

Step 1: Gather Context

Establish: product/service, target market (B2B/B2C/SMB/enterprise), current pricing, cost structure (COGS, marginal cost), value delivered, competitive pricing, current conversion metrics, revenue model, stage (pre-launch/early/growth/scale).