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Get Started Free →Discounted cash flow valuation with WACC calculation, free cash flow projection, terminal value estimation, sensitivity analysis, and enterprise-to-equity value bridge.
.claude/skills/cowork-os-dcf-valuation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 7% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 339% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -7% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 38% | 0% |
Discounted cash flow valuation with WACC calculation, free cash flow projection, terminal value estimation, sensitivity analysis, and enterprise-to-equity value bridge.
| Name | Type | Required | Description | |---|---|---|---| | company | string | Yes | Company name or ticker symbol | | projectionYears | select | Yes | Number of projection years | | question | string | Yes | Your specific valuation question | | revenueGrowth | string | No | Expected revenue growth rate (e.g., 15%) | | ebitdaMargin | string | No | Target EBITDA margin (e.g., 25%) | | wacc | string | No | Weighted average cost of capital (e.g., 9.5%) | | terminalGrowthRate | string | No | Perpetual growth rate for terminal value (e.g., 2.5%) |
../dcf-valuation.json.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 30,606 | 29,827 | -3% | 1 | 1 | 0% | 6,200 | 6,655 | +7% | 0 | 0 | — |
case-02 | pass→fail | 28,853 | 26,769 | -7% | 1 | 1 | 0% | 5,855 | 6,741 | +15% | 0 | 0 | — |
case-03 | fail→pass | 7,591 | 25,150 | +231% | 1 | 1 | 0% | 1,347 | 5,907 | +339% | 0 | 0 | — |
case-04 | fail→fail | 13,969 | 27,069 | +94% | 1 | 1 | 0% | 2,837 | 6,734 | +137% | 0 | 0 | — |
case-05 | fail→fail | 13,731 | 27,001 | +97% | 1 | 1 | 0% | 2,680 | 6,372 | +138% | 0 | 0 | — |
case-06 | fail→fail | 19,372 | 24,695 | +27% | 1 | 1 | 0% | 4,135 | 6,082 | +47% | 0 | 0 | — |
case-07 | fail→pass | 27,254 | 27,434 | +1% | 1 | 1 | 0% | 6,186 | 6,723 | +9% | 0 | 0 | — |
case-08 | pass→pass | 21,723 | 32,809 | +51% | 1 | 1 | 0% | 4,464 | 5,858 | +31% | 0 | 0 | — |
case-09 | fail→pass | 27,883 | 41,253 | +48% | 1 | 1 | 0% | 6,156 | 5,747 | -7% | 0 | 0 | — |
case-10 | pass→pass | 22,043 | 29,934 | +36% | 1 | 1 | 0% | 4,505 | 6,713 | +49% | 0 | 0 | — |
case-11 | pass→pass | 22,816 | 27,909 | +22% | 1 | 1 | 0% | 4,834 | 6,708 | +39% | 0 | 0 | — |
case-12 | fail→fail | 20,798 | 27,074 | +30% | 1 | 1 | 0% | 4,468 | 6,709 | +50% | 0 | 0 | — |
case-13 | pass→pass | 21,895 | 25,412 | +16% | 1 | 1 | 0% | 4,807 | 6,708 | +40% | 0 | 0 | — |
case-14 | pass→fail | 19,728 | 26,014 | +32% | 1 | 1 | 0% | 4,079 | 6,704 | +64% | 0 | 0 | — |
case-15 | pass→pass | 22,447 | 24,956 | +11% | 1 | 1 | 0% | 5,072 | 6,297 | +24% | 0 | 0 | — |
case-16 | pass→pass | 26,458 | 25,785 | -3% | 1 | 1 | 0% | 5,717 | 5,847 | +2% | 0 | 0 | — |
case-17 | fail→pass | 22,553 | 28,059 | +24% | 1 | 1 | 0% | 4,857 | 6,706 | +38% | 0 | 0 | — |
case-18 | pass→pass | 18,312 | 26,042 | +42% | 1 | 1 | 0% | 3,876 | 6,035 | +56% | 0 | 0 | — |
case-19 | fail→pass | 24,566 | 28,648 | +17% | 1 | 1 | 0% | 4,919 | 6,529 | +33% | 0 | 0 | — |
case-20 | pass→pass | 18,035 | 9,257 | -49% | 1 | 1 | 0% | 3,661 | 2,318 | -37% | 0 | 0 | — |
case-21 | pass→pass | 14,233 | 10,206 | -28% | 1 | 1 | 0% | 2,699 | 2,416 | -10% | 0 | 0 | — |
case-22 | pass→pass | 18,017 | 10,536 | -42% | 1 | 1 | 0% | 3,104 | 2,233 | -28% | 0 | 0 | — |
case-23 | pass→pass | 17,971 | 13,686 | -24% | 1 | 1 | 0% | 3,133 | 2,589 | -17% | 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. 23 cases were attempted. The headline lift of +17 percentage points is the difference between those two pass rates over the 23 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.