extract-biological-strategy
SkillDev toolsLets your agent analyze how a biological organism achieves a function and extract the mechanism, limits, and trade-offs.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the extract-biological-strategy skill
About this skill
Extract the causal strategy/mechanism by which a biological analog achieves its function, including boundary conditions and trade-offs.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/extract-biological-strategy/SKILL.md and read by ahel’s review.
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
- Trace the analog's structures, processes, and feedback that produce the function.
- State boundary conditions, resources, and failure modes.
- 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).
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
extract-biological-strategy- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine