How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analogBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
discover-biological-analog
Purpose
Identify biological systems that achieve a target function under comparable constraints.
Input contract
yaml
required: [biological_function, biological_constraints]
optional: [search_terms, candidate_taxa, environment]
constraints: [candidate must demonstrate the function, not merely resemble the target]Procedure
- Search across organism, process, and ecosystem levels using the function formulation.
- Verify the candidate's observed function and environmental constraints.
- 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
yaml
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).
