pricing-test
Test pricing strategies with synthetic data. Use when: simulating willingness to pay, price sensitivity, or optimal price points.
npx skills add indranilbanerjee/digital-marketing-pro --skill pricing-test --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.
# /digital-marketing-pro:pricing-test ## Purpose Test pricing scenarios against synthetic audience panels grounded in real CRM data. Estimate willingness-to-pay by segment, find optimal price points, acceptable price ranges, and the spread between revenue-maximizing and volume-maximizing prices. This command brings Van Westendorp and Gabor-Granger style pricing analysis to AI-simulated panels — giving directional pricing intelligence without the cost and lead time of formal pricing research. Use it before launching a new product, adjusting existing pricing, introducing tiers, or evaluating competitive price positioning. Every output includes confidence limitations so results are treated as informed estimates requiring real-world validation for high-stakes pricing decisions. ## Input Required The user must provide (or will be prompted for): - **Product or service description**: What is being priced — features, value proposition, target use case, and any relevant context about how customers perceive the offering. The more specific the description, the more grounded the synthetic panel's price sensitivity responses will be - **Price points to test**: 3-8 specific price points to evalu
- Purpose
- Input Required
- Process
- Output
- Agents Used
What does the pricing-test skill do?
Test pricing strategies with synthetic data. Use when: simulating willingness to pay, price sensitivity, or optimal price points.
How do I install it?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill pricing-test --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 indranilbanerjee/digital-marketing-pro, a repository with 700 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.