Skip to content
Automation
Skill

/extract-biological-strategy

Extract the causal strategy/mechanism by which a biological analog achieves its function, including boundary conditions and trade-offs.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-biological-strategy --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/extract-biological-strategy

Context preview

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

Extract the causal strategy/mechanism by which a biological analog achieves its function, including boundary conditions and trade-offs.

SKILL.md

extract-biological-strategy.SKILL.md
name: extract-biological-strategy
description: "Extract the causal strategy/mechanism by which a biological analog achieves its function, including boundary conditions and trade-offs."

extract-biological-strategy

Purpose

Extract the causal mechanism, boundary conditions, and trade-offs by which a biological analog achieves its function.

Input contract

required: [biological_analog, function_evidence]
optional: [mechanism_literature, environmental_conditions, tradeoffs]
constraints: [strategy claims must distinguish mechanism from observed outcome]

Procedure

1. Trace the analog's structures, processes, and feedback that produce the function. 2. State boundary conditions, resources, and failure modes. 3. Separate transferable principles from organism-specific implementation details.

Output contract

produces: [biological_mechanism, boundary_conditions, tradeoff_register, transferable_principles]
delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties]

Quality gates

  • Mechanism is causally connected to function and includes conditions under which transfer would fail.

Failure and counterexamples

Reject metaphorical descriptions without mechanism or principles that omit resource and trade-off constraints.

Provenance map

  • `biomimicry/abstract`: concept (no exact pool entry).
  • `biotriz`: concept (no exact pool entry).
Read more
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.

Get the whole plugin
Stats
499
Stars
41
Forks
Active
Maintenance
Python
Language
Apache-2.0
License
5h ago
Last commit
7mo ago
Created

Repo: yogsoth-ai/de-anthropocentric-research-engine