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Get Started Free →Map technical functions to biological functions, find organisms solving equivalent problems. Deep functional matching across domains.
.claude/skills/yogsoth-ai-functional-analogy/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | -37% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 55% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 29% | 0% |
Map technical functions to biological functions and find organisms that solve equivalent problems.
| Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 30 | 0 | 0% | | web-research | 10 | 0 | 0% | | paper-overview | 30 | 0 | 0% | | paper-search | 20 | 0 | 0% | | paper-research | 10 | 0 | 0% |
Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.
| Tactic | Role | |--------|------| | biological-function-mapping | Core tactic: map technical→biological functions | | analogy-extraction | Extract transferable structural principles |
| SOP | Role | |-----|------| | problem-biologization | Translate technical function to biological function | | organism-discovery | Find organisms performing the biological function | | functional-model-biology | Build functional model of biological system | | biological-strategy-extraction | Extract mechanism-level strategies | | abstraction-to-design | Abstract to design principles | | emulation-generation | Generate technical solutions | | biomimicry-synthesis | Synthesize final output |
<!-- BEGIN available-tables (generated) -->
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | biological-function-mapping | Map technical functions to biological systems. Orchestrates problem-biologization → organism-discovery → functional-model-biology. |
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | abstraction-to-design | Abstract biological principle to design principle. Bridge from biology to engineering. | | biological-strategy-extraction | Extract strategy principles from organisms. Identify mechanism-level details of how biological systems achieve their function. | | biomimicry-synthesis | Synthesize all biomimicry outputs into a structured idea report. Integrate biological strategies, design principles, and technical solutions. | | emulation-generation | Generate technical solutions emulating biological strategies. Bridge from design principle to concrete implementation. | | functional-model-biology | Build biological system functional model. Map energy, matter, and information flows. | | organism-discovery | Find organisms solving similar problems. Search across kingdoms for biological champions. | | problem-biologization | Restate technical problem as biological question. Translate engineering challenges into nature's language. |
<!-- END available-tables (generated) -->
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-08 | fail→pass | 13,782 | 3,426 | -75% | 1 | 1 | 0% | 2,149 | 1,359 | -37% | 0 | 0 | — |
case-01 | fail→pass | 10,091 | 8,505 | -16% | 1 | 1 | 0% | 1,726 | 2,036 | +18% | 0 | 0 | — |
case-02 | fail→pass | 12,698 | 1,864 | -85% | 1 | 1 | 0% | 673 | 1,041 | +55% | 0 | 0 | — |
case-03 | fail→pass | 27,728 | 3,047 | -89% | 1 | 1 | 0% | 1,166 | 1,197 | +3% | 0 | 0 | — |
case-04 | fail→pass | 13,556 | 3,177 | -77% | 1 | 1 | 0% | 993 | 1,284 | +29% | 0 | 0 | — |
case-05 | pass→pass | 5,997 | 2,903 | -52% | 1 | 1 | 0% | 883 | 1,221 | +38% | 0 | 0 | — |
case-06 | pass→pass | 10,357 | 4,767 | -54% | 1 | 1 | 0% | 1,509 | 1,511 | +0% | 0 | 0 | — |
case-07 | fail→pass | 18,161 | 5,407 | -70% | 1 | 1 | 0% | 2,913 | 1,675 | -42% | 0 | 0 | — |
case-09 | fail→pass | 11,945 | 2,514 | -79% | 1 | 1 | 0% | 1,910 | 1,187 | -38% | 0 | 0 | — |
case-10 | pass→pass | 12,626 | 4,806 | -62% | 1 | 1 | 0% | 1,942 | 1,439 | -26% | 0 | 0 | — |
case-11 | fail→pass | 19,259 | 2,802 | -85% | 1 | 1 | 0% | 991 | 1,287 | +30% | 0 | 0 | — |
case-12 | pass→pass | 8,679 | 3,410 | -61% | 1 | 1 | 0% | 1,419 | 1,389 | -2% | 0 | 0 | — |
case-13 | fail→pass | 15,128 | 3,602 | -76% | 1 | 1 | 0% | 2,469 | 1,368 | -45% | 0 | 0 | — |
case-14 | pass→pass | 14,973 | 3,787 | -75% | 1 | 1 | 0% | 2,307 | 1,440 | -38% | 0 | 0 | — |
case-15 | fail→pass | 9,133 | 2,615 | -71% | 1 | 1 | 0% | 1,518 | 1,157 | -24% | 0 | 0 | — |
case-16 | fail→fail | 10,583 | 16,482 | +56% | 1 | 1 | 0% | 1,573 | 3,434 | +118% | 0 | 0 | — |
case-17 | fail→pass | 6,244 | 4,288 | -31% | 1 | 1 | 0% | 1,203 | 1,648 | +37% | 0 | 0 | — |
case-18 | fail→pass | 7,745 | 2,957 | -62% | 1 | 1 | 0% | 1,238 | 1,209 | -2% | 0 | 0 | — |
case-19 | fail→pass | 7,492 | 2,349 | -69% | 1 | 1 | 0% | 1,195 | 1,180 | -1% | 0 | 0 | — |
case-20 | pass→fail | 7,854 | 15,633 | +99% | 1 | 1 | 0% | 1,639 | 3,855 | +135% | 0 | 0 | — |
case-21 | pass→pass | 15,311 | 30,483 | +99% | 1 | 1 | 0% | 2,693 | 3,620 | +34% | 0 | 0 | — |
case-22 | pass→pass | 6,769 | 8,694 | +28% | 1 | 1 | 0% | 1,503 | 2,690 | +79% | 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, and 19 counted toward the lift figure. The other 3 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +55 percentage points is the difference between those two pass rates over the 19 comparable cases. 1 case got worse with the skill loaded, and it is 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.