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pricing-strategy · phuryn — Claude Code skill: pricing and setup

This skill helps choose a pricing model, compare competitors, and estimate willingness to pay. Use it before launching a plan or changing prices.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add phuryn/pm-skills --skill pricing-strategy -a claude-code
Open on GitHub

What pricing-strategy does

The skill examines the value a product delivers, the customer's alternatives, and measurable outcomes such as time saved, revenue gained, or costs reduced. It then matches flat-rate, per-seat, usage-based, tiered, freemium, and value-based models to the product context.

It produces a pricing recommendation with a value metric, tier structure, feature gating, and positioning. The analysis also covers competitor tiers, price sensitivity with the Van Westendorp Price Sensitivity Meter, and experiments for pricing pages, price points, and conversion cohorts.

You can provide files with competitor pricing, survey results, financial models, or usage data. When the recommendation relies on survey responses, validate willingness to pay before launching a price change.

What it helps with

  • choose a monetization model for a product
  • map competitor plans and included features
  • estimate customers' willingness to pay
  • define differences between pricing tiers
  • plan tests for prices and pricing pages

Example prompts for the agent

  • Design a pricing strategy for `$ARGUMENTS`, compare the available models, and recommend the best fit.
  • Read `competitors.csv` and `survey.csv`, estimate willingness to pay, and propose a tier structure.
  • Compare freemium and paid approaches using `usage.json` and the financial model.

How to install pricing-strategy

1Skills CLI (Vercel)

npx skills add phuryn/pm-skills --skill pricing-strategy -a claude-code

2Manually: put the files in place

~/.claude/skills/pricing-strategy/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/pricing-strategy/

From the same set61

The whole set →
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Other versions of pricing-strategy

pricing-strategy Alireza Rezvani Design SaaS pricing, value metrics, plan tiers, and price increases with Claude Code. Use it for a new model or an audit of existing pricing. Claude Code 670installs

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Questions about pricing-strategy

How do I install pricing-strategy in Claude Code?

Run npx skills add phuryn/pm-skills --skill pricing-strategy -a claude-code, then run npx skills add phuryn/pm-skills --skill pricing-strategy -a claude-code again. The skill file is at ~/.claude/skills/pricing-strategy/SKILL.md.

What does pricing-strategy do?

It analyzes product value, competitor pricing, willingness to pay, and price sensitivity. It helps select a pricing model, shape tiers, and plan pricing experiments.

What data can pricing-strategy analyze?

You can provide competitor pricing, survey data, financial models, and usage data. The skill can also use web search to research competitor pricing when needed.

Source text

SKILL.md · MIT 
---
name: pricing-strategy
description: "Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or comparing freemium vs paid approaches."
---

## Pricing Strategy

Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.

### Context

You are developing a pricing strategy for **$ARGUMENTS**.

If the user provides files (competitor pricing, survey data, financial models, or usage data), read them first. Use web search to research competitor pricing if needed.

### Instructions

1. **Understand the value delivered**:
   - What is the core value proposition?
   - What is the customer's alternative (and its cost)?
   - What quantifiable outcomes does the product deliver? (time saved, revenue gained, cost reduced)
   - What is the customer's willingness to pay based on that value?

2. **Evaluate pricing models** — recommend the best fit:

   | Model | Best For | Example |
   |---|---|---|
   | **Flat-rate** | Simple products, predictable costs | Basecamp ($99/mo flat) |
   | **Per-seat** | Collaboration tools, team products | Slack, Figma |
   | **Usage-based** | Infrastructure, API products | AWS, Twilio |
   | **Tiered** | Products with distinct user segments | Most SaaS (Free/Pro/Enterprise) |
   | **Freemium** | Products with viral/network effects | Spotify, Notion |
   | **Freemium + usage** | Platform products | Vercel, OpenAI API |
   | **Value-based** | High-impact enterprise tools | Salesforce, Palantir |

3. **Analyze competitive pricing**:
   - Map competitor pricing tiers and what's included
   - Identify where your product sits (premium, mid-market, budget)
   - Find pricing gaps or opportunities
   - Note any industry pricing conventions

4. **Design the pricing structure**:
   - **Tiers**: Define 2-4 tiers with clear differentiation
   - **Feature gating**: Which features go in which tier? (Use value metrics, not arbitrary limits)
   - **Value metric**: What unit do you charge on? (users, events, storage, API calls)
   - **Anchor pricing**: Set the most popular tier to feel like the obvious choice
   - **Annual discount**: Typically 15-20% off monthly pricing

5. **Estimate price sensitivity**:
   - Van Westendorp Price Sensitivity Meter (if survey data available):
     - Too cheap → quality concerns
     - Cheap → good value
     - Expensive → starting to hesitate
     - Too expensive → won't buy
   - Alternatively, estimate based on competitor pricing and value delivered

6. **Plan pricing experiments**:
   - A/B test pricing pages (different price points, tier names, feature bundles)
   - Founder-led sales conversations to test willingness to pay
   - Landing page tests with different price anchors
   - Cohort analysis of conversion rates by price point

7. **Output a pricing recommendation**:
   ```
   Recommended Model: [Model type]
   Value Metric: [What you charge on]

   | Tier | Price | Target Segment | Key Features | Positioning |
   |---|---|---|---|---|

   Key Assumptions:
   - [Assumption] → [How to test]

   Risks:
   - [Risk] → [Mitigation]
   ```

Think step by step. Save as markdown. Flag any assumptions that need validation before launch.

---

### Further Reading

- [Product Pricing Strategies 101](https://www.productcompass.pm/p/product-pricing-strategies-101)
- [The AI Product Pricing Masterclass: OpenAI Product Lead on Why SaaS Pricing Fails in AI (and How to Fix It)](https://www.productcompass.pm/p/ai-product-pricing) (video course)

© phuryn · MIT · phuryn/pm-skills

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