Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →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.
.claude/skills/phuryn-pricing-strategy/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 72% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 80% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 81% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 41% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 73% | 0% |
Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.
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.
| 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 |
Recommended Model: Model type] Value Metric: What you charge on]
| Tier | Price | Target Segment | Key Features | Positioning | |---|---|---|---|---|
Key Assumptions:
Risks:
Think step by step. Save as markdown. Flag any assumptions that need validation before launch.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-21 | pass→pass | 22,663 | 25,292 | +12% | 1 | 1 | 0% | 3,767 | 5,123 | +36% | 0 | 0 | — |
case-04 | pass→pass | 23,322 | 33,567 | +44% | 1 | 1 | 0% | 4,370 | 6,889 | +58% | 0 | 0 | — |
case-05 | pass→pass | 36,840 | 19,382 | -47% | 1 | 1 | 0% | 3,742 | 4,862 | +30% | 0 | 0 | — |
case-06 | pass→pass | 18,913 | 18,052 | -5% | 1 | 1 | 0% | 3,049 | 3,568 | +17% | 0 | 0 | — |
case-07 | fail→pass | 18,200 | 23,626 | +30% | 1 | 1 | 0% | 2,944 | 5,075 | +72% | 0 | 0 | — |
case-08 | fail→fail | 19,677 | 31,530 | +60% | 1 | 1 | 0% | 3,382 | 6,017 | +78% | 0 | 0 | — |
case-01 | fail→pass | 17,592 | 27,897 | +59% | 1 | 1 | 0% | 3,121 | 5,609 | +80% | 0 | 0 | — |
case-02 | fail→pass | 20,735 | 33,017 | +59% | 1 | 1 | 0% | 3,670 | 6,631 | +81% | 0 | 0 | — |
case-03 | fail→pass | 19,426 | 22,025 | +13% | 1 | 1 | 0% | 3,266 | 4,621 | +41% | 0 | 0 | — |
case-09 | fail→pass | 17,821 | 23,745 | +33% | 1 | 1 | 0% | 2,883 | 4,989 | +73% | 0 | 0 | — |
case-10 | fail→pass | 19,504 | 24,116 | +24% | 1 | 1 | 0% | 3,457 | 4,849 | +40% | 0 | 0 | — |
case-11 | fail→pass | 21,472 | 24,495 | +14% | 1 | 1 | 0% | 3,963 | 5,095 | +29% | 0 | 0 | — |
case-12 | fail→pass | 18,821 | 24,518 | +30% | 1 | 1 | 0% | 3,287 | 5,080 | +55% | 0 | 0 | — |
case-13 | fail→pass | 18,157 | 27,548 | +52% | 1 | 1 | 0% | 3,267 | 5,495 | +68% | 0 | 0 | — |
case-14 | pass→pass | 30,953 | 30,297 | -2% | 1 | 1 | 0% | 5,594 | 6,052 | +8% | 0 | 0 | — |
case-15 | fail→pass | 20,394 | 28,886 | +42% | 1 | 1 | 0% | 3,371 | 5,662 | +68% | 0 | 0 | — |
case-16 | pass→pass | 18,231 | 25,336 | +39% | 1 | 1 | 0% | 3,208 | 5,092 | +59% | 0 | 0 | — |
case-17 | pass→pass | 19,429 | 24,799 | +28% | 1 | 1 | 0% | 3,504 | 5,185 | +48% | 0 | 0 | — |
case-18 | fail→pass | 19,325 | 23,623 | +22% | 1 | 1 | 0% | 3,154 | 4,846 | +54% | 0 | 0 | — |
case-19 | fail→pass | 19,431 | 24,759 | +27% | 1 | 1 | 0% | 3,385 | 5,062 | +50% | 0 | 0 | — |
case-20 | pass→pass | 20,864 | 22,829 | +9% | 1 | 1 | 0% | 3,532 | 4,707 | +33% | 0 | 0 | — |
case-22 | pass→pass | 24,008 | 24,632 | +3% | 1 | 1 | 0% | 4,128 | 4,974 | +20% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +55 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.