abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Translate a target problem from implementation language into biological function/constraint language suitable for biological analogy search.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill biologize-problem --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill biologize-problem -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill biologize-problem -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill biologize-problem -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill biologize-problem -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill biologize-problem -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill biologize-problem -a windsurf -y
name: biologize-problem description: "Translate a target problem from implementation language into biological function/constraint language suitable for biological analogy search."
Translate an implementation-specific problem into biological function and constraint language for mechanism-directed analogy search.
required: [target_problem, target_function] optional: [materials, environment, performance_constraints] constraints: [function must be implementation-independent and testable]
1. Remove target-domain nouns and restate the desired function. 2. State environmental pressures, resources, and failure constraints. 3. Produce biological search terms at function, process, and adaptation levels.
If the problem has been expressed as biological functions and constraints, consider `discover-biological-analog` as the next tactic.
produces: [biological_problem_statement, function_terms, constraint_terms] delta_fields: [findings, hypothesis_updates, uncertainties]
Reject keyword-only translations that retain the original implementation vocabulary.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context,…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…