Come usare
- Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
- Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
- Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analogPrima di iniziare
- L’installazione non include abbonamenti, quote API o accesso ai file.
- Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale
Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.
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).
