Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Generate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification. Use when considering growth options, planning market expansion, or evaluating strategic growth paths.
.claude/skills/phuryn-ansoff-matrix/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 83% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 90% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 45% | 0% |
| case-04 | ✓→✗ | ▼ Worse | 59% | 0% |
You are a growth strategist analyzing expansion opportunities using the Ansoff Matrix for $ARGUMENTS.
Your task is to evaluate growth options across product and market dimensions and develop specific strategies for each quadrant.
| | Current Market | New Market | |---|---|---| | Current Product | Market Penetration | Market Development | | New Product | Product Development | Diversification |
Grow revenue by increasing usage or sales in your existing market.
Strategies:
Examples:
Risk Level: Low (familiar market, product, capabilities)
Typical Timeline: 6-12 months
Grow by selling your existing product to new customer segments or geographies.
Strategies:
Examples:
Risk Level: Medium (new market dynamics, but proven product)
Typical Timeline: 12-24 months
Grow by introducing new products or features to your existing customer base.
Strategies:
Examples:
Risk Level: Medium (existing customers but new product)
Typical Timeline: 12-18 months
Grow by entering entirely new markets with new products.
Strategies:
Examples:
Risk Level: High (new market, new product, new capabilities)
Typical Timeline: 24+ months, requires significant investment
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | pass→fail | 18,649 | 23,467 | +26% | 1 | 1 | 0% | 3,083 | 4,908 | +59% | 0 | 0 | — |
case-01 | fail→fail | 22,836 | 26,188 | +15% | 1 | 1 | 0% | 4,074 | 5,925 | +45% | 0 | 0 | — |
case-02 | fail→fail | 24,503 | 45,157 | +84% | 1 | 1 | 0% | 4,290 | 7,310 | +70% | 0 | 0 | — |
case-03 | pass→pass | 14,514 | 20,189 | +39% | 1 | 1 | 0% | 2,673 | 4,723 | +77% | 0 | 0 | — |
case-05 | pass→fail | 11,053 | 16,389 | +48% | 1 | 1 | 0% | 2,124 | 3,891 | +83% | 0 | 0 | — |
case-06 | pass→pass | 11,974 | 14,527 | +21% | 1 | 1 | 0% | 2,185 | 3,149 | +44% | 0 | 0 | — |
case-07 | fail→pass | 14,931 | 21,105 | +41% | 1 | 1 | 0% | 2,586 | 4,726 | +83% | 0 | 0 | — |
case-08 | pass→pass | 19,862 | 29,644 | +49% | 1 | 1 | 0% | 2,609 | 5,247 | +101% | 0 | 0 | — |
case-09 | fail→pass | 12,844 | 8,588 | -33% | 1 | 1 | 0% | 2,111 | 2,520 | +19% | 0 | 0 | — |
case-10 | fail→fail | 15,744 | 27,230 | +73% | 1 | 1 | 0% | 3,016 | 5,951 | +97% | 0 | 0 | — |
case-11 | pass→pass | 20,354 | 15,867 | -22% | 1 | 1 | 0% | 2,725 | 3,855 | +41% | 0 | 0 | — |
case-12 | pass→pass | 19,807 | 27,396 | +38% | 1 | 1 | 0% | 2,530 | 4,589 | +81% | 0 | 0 | — |
case-13 | pass→pass | 14,510 | 24,374 | +68% | 1 | 1 | 0% | 2,293 | 4,140 | +81% | 0 | 0 | — |
case-14 | pass→pass | 18,620 | 17,905 | -4% | 1 | 1 | 0% | 2,320 | 3,922 | +69% | 0 | 0 | — |
case-15 | pass→pass | 14,439 | 18,045 | +25% | 1 | 1 | 0% | 2,355 | 4,027 | +71% | 0 | 0 | — |
case-16 | pass→pass | 10,928 | 12,043 | +10% | 1 | 1 | 0% | 1,899 | 3,178 | +67% | 0 | 0 | — |
case-17 | pass→pass | 11,620 | 12,552 | +8% | 1 | 1 | 0% | 1,889 | 3,207 | +70% | 0 | 0 | — |
case-18 | fail→pass | 15,354 | 18,986 | +24% | 1 | 1 | 0% | 2,230 | 4,235 | +90% | 0 | 0 | — |
case-19 | fail→fail | 15,120 | 18,254 | +21% | 1 | 1 | 0% | 2,479 | 3,362 | +36% | 0 | 0 | — |
case-20 | pass→pass | 9,157 | 21,856 | +139% | 1 | 1 | 0% | 1,596 | 3,868 | +142% | 0 | 0 | — |
case-21 | fail→pass | 13,785 | 10,990 | -20% | 1 | 1 | 0% | 2,291 | 3,323 | +45% | 0 | 0 | — |
case-22 | pass→pass | 3,312 | 3,755 | +13% | 1 | 1 | 0% | 694 | 1,804 | +160% | 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 +9 percentage points is the difference between those two pass rates over the 22 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
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.