abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Identify biological systems that achieve the target function under comparable constraints, without assuming surface similarity.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analog --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analog -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analog -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analog -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analog -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analog -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill discover-biological-analog -a windsurf -y
name: discover-biological-analog description: "Identify biological systems that achieve the target function under comparable constraints, without assuming surface similarity."
Identify biological systems that achieve a target function under comparable constraints.
required: [biological_function, biological_constraints] optional: [search_terms, candidate_taxa, environment] constraints: [candidate must demonstrate the function, not merely resemble the target]
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.
produces: [biological_candidate_set, function_evidence, relevance_ranking] delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps]
Exclude candidates supported only by analogy language, stock imagery, or incompatible conditions.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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