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Skill

/biologize-problem

Translate a target problem from implementation language into biological function/constraint language suitable for biological analogy search.

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de-anthropocentric-research-engine
499200 skills
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$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill biologize-problem --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/biologize-problem

Context preview

The summary Claude sees to decide when to auto-load this skill.

Translate a target problem from implementation language into biological function/constraint language suitable for biological analogy search.

SKILL.md

biologize-problem.SKILL.md
name: biologize-problem
description: "Translate a target problem from implementation language into biological function/constraint language suitable for biological analogy search."

biologize-problem

Purpose

Translate an implementation-specific problem into biological function and constraint language for mechanism-directed analogy search.

Input contract

required: [target_problem, target_function]
optional: [materials, environment, performance_constraints]
constraints: [function must be implementation-independent and testable]

Procedure

1. Remove target-domain nouns and restate the desired function. 2. State environmental pressures, resources, and failure constraints. 3. Produce biological search terms at function, process, and adaptation levels.

If the problem has been expressed as biological functions and constraints, consider `discover-biological-analog` as the next tactic.

Output contract

produces: [biological_problem_statement, function_terms, constraint_terms]
delta_fields: [findings, hypothesis_updates, uncertainties]

Quality gates

  • The biological formulation preserves the target function and names constraints without prescribing a target technology.

Failure and counterexamples

Reject keyword-only translations that retain the original implementation vocabulary.

Provenance map

  • `biomimicry/biologize`: concept (no exact pool entry; `biologize-and-discover` is a distinct name).
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The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Python
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Apache-2.0
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Repo: yogsoth-ai/de-anthropocentric-research-engine