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Automation
Skill

/discover-biological-analog

Identify biological systems that achieve the target function under comparable constraints, without assuming surface similarity.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analog --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/discover-biological-analog

Context preview

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

Identify biological systems that achieve the target function under comparable constraints, without assuming surface similarity.

SKILL.md

discover-biological-analog.SKILL.md
name: discover-biological-analog
description: "Identify biological systems that achieve the target function under comparable constraints, without assuming surface similarity."

discover-biological-analog

Purpose

Identify biological systems that achieve a target function under comparable constraints.

Input contract

required: [biological_function, biological_constraints]
optional: [search_terms, candidate_taxa, environment]
constraints: [candidate must demonstrate the function, not merely resemble the target]

Procedure

1. Search across organism, process, and ecosystem levels using the function formulation. 2. Verify the candidate's observed function and environmental constraints. 3. Rank candidates by mechanism evidence and transfer relevance.

If an analog matches the target function under relevant constraints, consider `extract-biological-strategy` as the next tactic.

Output contract

produces: [biological_candidate_set, function_evidence, relevance_ranking]
delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps]

Quality gates

  • Each candidate has function evidence, constraint match, and a stated uncertainty; surface similarity is not a ranking criterion.

Failure and counterexamples

Exclude candidates supported only by analogy language, stock imagery, or incompatible conditions.

Provenance map

  • `biomimicry/discover`: concept (no exact pool entry).
  • `biological-analogy`: concept (no exact pool entry).
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Ships withde-anthropocentric-research-engine

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
Language
Apache-2.0
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8h ago
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7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine