Pricing Strategist

This one walks you through SaaS pricing like a strategy consultant would: value metrics, tier design, feature packaging, the works. It gives you the McKinsey stat about pricing being a profit lever, then gets practical with tiered versus usage-based models, the psychology of anchor pricing, and how to run A/B tests on your pricing page. The framework is opinionated in a good way, like telling you most customers pick the middle tier when it's 3-4x your starter price. Use it when you're launching a product, feeling like you're leaving money on the table, or need to justify why you're putting SSO in the enterprise tier. It's more playbook than theory.

skills.sh installs: 180
GitHub stars: 39
last updated: Aug 21, 2026

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Install

$ npx -y skills add daffy0208/ai-dev-standards --skill pricing-strategist --agent claude-code

Installs into .claude/skills of the current project.

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Pricing Strategist

Design pricing strategies that maximize revenue while keeping customers happy.

Core Principles

Pricing is a growth lever: 1% improvement in pricing = 11% improvement in profit (McKinsey)
Price to value, not cost: Charge based on value delivered, not what it costs you
Simple > Clever: 3 tiers beats 5 tiers; clear packaging beats complex
Experiment continuously: A/B test, iterate, optimize

Pricing Strategy Framework

Step 1: Determine Your Value Metric

Value metric = What you charge for (users, projects, API calls, etc.)

Good value metrics:

Align with customer value (as they get more value, they pay more)
Easy to understand and predict
Grow naturally with usage

Examples:

Slack: Per active user
  ✅ Grows with team size
  ✅ Easy to understand
  ✅ Aligns with value

Twilio: Per API call
  ✅ Grows with usage
  ✅ Predictable for users
  ✅ Direct value correlation

Dropbox: Storage size
  ✅ Clear metric
  ✅ Grows with needs
  ⚠️ Can be gamed (compression)

AWS: Everything (CPU, storage, bandwidth, etc.)
  ⚠️ Complex but accurate
  ⚠️ Hard to predict costs
  ✅ Pay for what you use

SKILL.md on GitHub