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Get Started Free →Biomimicry Campaign — discover transferable solutions from biological systems via Design Spiral, BioTRIZ, functional analogy, ecosystem patterns, and evolution strategies.
.claude/skills/yogsoth-ai-biomimicry/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 42% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 199% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 83% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 23% | 0% |
Discover transferable solutions from biological systems via Design Spiral, BioTRIZ, functional analogy, ecosystem patterns, and evolution strategies.
| Strategy | Signal Keywords | |----------|----------------| | biologize-and-discover | biologize, design spiral, nature solves, organism, biomimicry design | | biotriz-resolution | contradiction, bio-principle, biological TRIZ, trade-off, bio conflict | | functional-analogy | function, biological function, organism mapping, how nature does X | | ecosystem-pattern | ecosystem, symbiosis, emergence, resilience, cycles, network | | evolution-strategy | evolution, selection, mutation, adaptation, radiation, speciation |
| Strategy | Description | |----------|-------------| | biologize-and-discover | Biomimicry Design Spiral: Define→Biologize→Discover→Abstract→Emulate | | biotriz-resolution | BioTRIZ: biological 40 principles + bio contradiction matrix | | functional-analogy | Map technical functions to biological functions, find organisms | | ecosystem-pattern | Extract ecosystem-level organization patterns (symbiosis, emergence, resilience) | | evolution-strategy | Use evolution mechanisms (selection, mutation, radiation) as design operators |
| Tactic | Description | |--------|-------------| | analogy-extraction | Extract transferable structural principles from source domains (shared) | | biological-function-mapping | Map technical functions to biological systems via biologize→discover→model | | life-principles-application | Apply life's principles as design constraints via ecosystem→evolution→abstraction |
| SOP | Description | |-----|-------------| | problem-biologization | Restate technical problem as biological question | | organism-discovery | Find organisms solving similar problems | | biological-strategy-extraction | Extract strategy principles from organisms | | biotriz-principle-selection | Select applicable BioTRIZ principles | | functional-model-biology | Build biological system functional model | | abstraction-to-design | Abstract biological principle to design principle | | emulation-generation | Generate technical solutions emulating biological strategies | | ecosystem-pattern-extraction | Extract ecosystem-level organization patterns | | evolution-mechanism-transfer | Map evolution mechanisms to design operations | | biomimicry-synthesis | Synthesize all biomimicry outputs |
| Strategy | web-search | web-research | paper-overview | paper-search | paper-research | |----------|-----------|-------------|---------------|-------------|---------------| | biologize-and-discover | 30 | 10 | 30 | 20 | 8 | | biotriz-resolution | 25 | 8 | 25 | 15 | 5 | | functional-analogy | 30 | 10 | 30 | 20 | 10 | | ecosystem-pattern | 25 | 10 | 25 | 15 | 5 | | evolution-strategy | 20 | 8 | 20 | 12 | 5 |
| Tool | Server | Purpose | |------|--------|---------| | brave_web_search | brave-search | General web search for biological solutions | | brave_llm_context | brave-search | Deep content extraction from biology sources | | apify/rag-web-browser | apify | Full page scraping for detailed biological content | | get_paper_content | alphaxiv | Read academic paper content | | discover_papers | alphaxiv | Find relevant biomimicry research papers | | relevanceSearch | semantic-scholar | Search biomimicry literature | | paper | semantic-scholar | Get paper details | | citations | semantic-scholar | Trace citation networks |
| Tactic | Role | |--------|------| | analogy-extraction | Extract transferable structural principles (shared, from cross-domain-discovery) | | biological-function-mapping | Map technical functions to biological systems | | life-principles-application | Apply life's principles as design constraints |
<!-- BEGIN available-tables (generated) -->
Optional, no fixed order; the final leaf is always a sop.
| Strategy | When to use | | --- | --- | | biologize-and-discover | Biomimicry Design Spiral: Define→Biologize→Discover→Abstract→Emulate. Translate technical challenges into biological questions and find nature's solutions. | | biotriz-resolution | BioTRIZ: biological 40 principles + bio contradiction matrix. Resolve technical contradictions using biological inventive principles. | | ecosystem-pattern | Extract ecosystem-level organization patterns (symbiosis, emergence, resilience) as design templates for complex systems. | | evolution-strategy | Use evolution mechanisms (selection, mutation, radiation) as design operators for generating and refining solution populations. | | functional-analogy | Map technical functions to biological functions, find organisms solving equivalent problems. Deep functional matching across domains. |
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | analogy-extraction | Extract transferable structural principles from source domains. Orchestrates source identification → abstraction → structural mapping → transfer validation. | | biological-function-mapping | Map technical functions to biological systems. Orchestrates problem-biologization → organism-discovery → functional-model-biology. | | evaluation-filtering | Multi-dimensional evaluation and tiered filtering of generated ideas. Orchestrates novelty assessment → feasibility check → ranking → selection. | | life-principles-application | Apply life's principles as design constraints. Orchestrates ecosystem-pattern-extraction → evolution-mechanism-transfer → abstraction-to-design. |
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | context-checkpoint | Append research process and results to the current Phase's context file. Covers both process and results with genuine substance. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase. | | context-init | Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed. | | creative-ideation-novelty-scoring | Score ideas on novelty dimensions — structural distance from known solutions, conceptual surprise, domain-crossing depth. Produces ranked novelty assessment. | | creative-ideation-saturation-detection | Determine when additional ideation yields diminishing returns. Analyzes latest idea batch against existing corpus to judge continue/near-saturation/saturated. | | domain-scanning | Scan distant domains for transferable principles. Uses web-search and paper-overview to identify analogous solutions in unrelated fields. | | idea-synthesis | Synthesize diverse ideas into coherent solution concepts. Combines fragments from multiple ideation passes into structured, actionable ideas with clear mechanism descriptions. |
<!-- 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-03 | pass→pass | 18,526 | 16,195 | -13% | 1 | 1 | 0% | 2,612 | 3,952 | +51% | 0 | 0 | — |
case-04 | pass→pass | 8,710 | 12,473 | +43% | 1 | 1 | 0% | 1,348 | 3,608 | +168% | 0 | 0 | — |
case-01 | fail→fail | 24,492 | 17,757 | -27% | 1 | 1 | 0% | 3,575 | 2,735 | -23% | 0 | 0 | — |
case-02 | pass→pass | 20,071 | 26,523 | +32% | 1 | 1 | 0% | 2,957 | 5,635 | +91% | 0 | 0 | — |
case-05 | pass→pass | 20,051 | 19,103 | -5% | 1 | 1 | 0% | 2,924 | 4,295 | +47% | 0 | 0 | — |
case-06 | pass→pass | 15,138 | 9,799 | -35% | 1 | 1 | 0% | 2,269 | 3,144 | +39% | 0 | 0 | — |
case-07 | fail→pass | 12,641 | 2,869 | -77% | 1 | 1 | 0% | 2,046 | 2,105 | +3% | 0 | 0 | — |
case-08 | pass→pass | 12,796 | 6,864 | -46% | 1 | 1 | 0% | 1,884 | 2,679 | +42% | 0 | 0 | — |
case-09 | pass→pass | 11,609 | 12,555 | +8% | 1 | 1 | 0% | 1,615 | 3,331 | +106% | 0 | 0 | — |
case-10 | pass→pass | 14,676 | 19,487 | +33% | 1 | 1 | 0% | 2,201 | 4,473 | +103% | 0 | 0 | — |
case-11 | pass→pass | 10,307 | 11,465 | +11% | 1 | 1 | 0% | 1,482 | 3,237 | +118% | 0 | 0 | — |
case-12 | pass→fail | 15,270 | 4,672 | -69% | 1 | 1 | 0% | 2,462 | 2,359 | -4% | 0 | 0 | — |
case-13 | fail→pass | 9,457 | 1,783 | -81% | 1 | 1 | 0% | 1,374 | 1,955 | +42% | 0 | 0 | — |
case-14 | fail→pass | 4,754 | 3,129 | -34% | 1 | 1 | 0% | 720 | 2,152 | +199% | 0 | 0 | — |
case-15 | pass→pass | 25,097 | 7,100 | -72% | 1 | 1 | 0% | 1,822 | 2,712 | +49% | 0 | 0 | — |
case-16 | pass→pass | 11,237 | 2,468 | -78% | 1 | 1 | 0% | 1,668 | 2,053 | +23% | 0 | 0 | — |
case-17 | fail→pass | 7,303 | 2,643 | -64% | 1 | 1 | 0% | 1,135 | 2,072 | +83% | 0 | 0 | — |
case-18 | fail→pass | 10,810 | 1,679 | -84% | 1 | 1 | 0% | 1,524 | 1,879 | +23% | 0 | 0 | — |
case-19 | fail→pass | 13,063 | 2,355 | -82% | 1 | 1 | 0% | 1,901 | 2,053 | +8% | 0 | 0 | — |
case-20 | pass→pass | 13,876 | 2,765 | -80% | 1 | 1 | 0% | 2,026 | 2,054 | +1% | 0 | 0 | — |
case-21 | pass→pass | 18,504 | 25,986 | +40% | 1 | 1 | 0% | 2,681 | 5,493 | +105% | 0 | 0 | — |
case-22 | pass→pass | 16,741 | 18,280 | +9% | 1 | 1 | 0% | 3,028 | 4,943 | +63% | 0 | 0 | — |
case-23 | pass→fail | 16,449 | 8,614 | -48% | 1 | 1 | 0% | 2,534 | 2,104 | -17% | 0 | 0 | — |
case-24 | pass→pass | 11,245 | 31,153 | +177% | 1 | 1 | 0% | 1,879 | 4,512 | +140% | 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. 24 cases were attempted, and 22 counted toward the lift figure. The other 2 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 +17 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.