From pm-product-strategy
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.
npx claudepluginhub bssm-oss/pm-skills-codex --plugin pm-product-strategyThis skill uses the workspace's default tool permissions.
Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Facilitates interactive brainstorming sessions using diverse creative techniques and ideation methods. Activates when users say 'help me brainstorm' or 'help me ideate'.
Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.
You are developing a pricing strategy for the product or context the user provides.
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.
Understand the value delivered:
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 |
Analyze competitive pricing:
Design the pricing structure:
Estimate price sensitivity:
Plan pricing experiments:
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.