Biomimetic Transfer logo

Biomimetic Transfer

Organization
yogsoth-ai
biomimetic-transfer

Reframe a problem in biological functional terms, discover organisms/systems solving analogous functions, extract the causal biological strategy, and transfer the mechanism back into the target domain.

Overview

Publisheryogsoth-ai
Repositoryde-anthropocentric-research-engine
Skill namebiomimetic-transfer
Stars
505
Forks
43
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by yogsoth-ai on GitHub. Read the source before you install it.

Installation

Install the Biomimetic Transfer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/biomimetic-transfer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git /tmp/de-anthropocentric-research-engine
mkdir -p .claude/skills
cp -r /tmp/de-anthropocentric-research-engine/skills/biomimetic-transfer .claude/skills/biomimetic-transfer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Biomimetic Transfer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Biomimetic Transfer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Biomimetic Transfer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

biomimetic-transfer

Purpose

Translate a target problem into biological functions, find analogous living systems, extract causal strategies, and transfer them back.

Input contract

yaml
mode_contracts:
  biologize-and-discover: &biomimetic_input
    required: [target_problem, target_function]
    optional: [biological_search_space, compatibility_constraints]
    constraints: [function_must_be_stated_independently_of_the_target_implementation]
  BioTRIZ: *biomimetic_input

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

  1. You MUST load skill biologize-problem to biologize the problem.
  2. You MUST load skill discover-biological-analog to discover biological analogs.
  3. You MUST load skill extract-biological-strategy to extract the causal strategy.
  4. You MUST load skill instantiate-transfer to instantiate the target transfer.
  5. You MUST load skill evaluate-compatibility to check compatibility. If a viable transfer requires composing mechanisms from multiple biological analogs rather than applying one causal strategy, consider conceptual-blending as the next tactic. Deviation: BioTRIZ mode may branch during strategy extraction, but all five checks remain required.

Mode branches

  • biologize-and-discover: translate function, search biological analogs, then extract mechanism.
  • BioTRIZ: use biological contradiction/principle framing during strategy extraction before transfer.

Output contract

yaml
mode_contracts:
  biologize-and-discover:
    produces: [biological_question, biological_candidate_set, biological_strategies, design_principles, technical_solutions]
    delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]
  BioTRIZ:
    produces: [contradiction, biotriz_principles, biological_case_mapping, biological_strategies, design_principles, technical_solutions]
    delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]

Thresholds and quality gates

  • B: analogs solve the same function; strategy includes mechanism and conditions; target compatibility is explicit.

Failure and counterexamples

Reject organism-by-appearance analogies, transfers without mechanism, and proposals violating target constraints.

Provenance map

  • creative-ideation/biomimicry, biologize-and-discover, biotriz, biological-analogy: resolved/concept only when exact v3 node is found.
  • Status: creative-ideation/biomimicry, biologize-and-discover resolved; biotriz, biological-analogy concept.

Preserved source criteria ledger

  • Preserve biologize -> discover -> extract strategy -> transfer workflow and BioTRIZ branching.

Context checkpoint / Delta notes

Append function translation, analog evidence, mechanism, transfer assumptions, and compatibility failures.

Frequently asked questions

What does the Biomimetic Transfer AI skill do?

Reframe a problem in biological functional terms, discover organisms/systems solving analogous functions, extract the causal biological strategy, and transfer the mechanism back into the target domain.

Why use Biomimetic Transfer on TypingMind?

Because you install it once and use it with any model. Biomimetic Transfer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Biomimetic Transfer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/biomimetic-transfer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Biomimetic Transfer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Biomimetic Transfer?

As many as you like. As long as a model supports skills, you can use Biomimetic Transfer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Biomimetic Transfer AI skill free?

Yes. It is published on GitHub by yogsoth-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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