abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Generate a non-dominated frontier for a multi-objective candidate/portfolio problem.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill optimize-pareto-frontier --agent claude-codeHow it fires
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Generate a non-dominated frontier for a multi-objective candidate/portfolio problem.
name: optimize-pareto-frontier description: "Generate a non-dominated frontier for a multi-objective candidate/portfolio problem."
Generate a non-dominated frontier for a multi-objective candidate or portfolio problem while preserving objective tradeoffs.
required: [candidate_set, objective_schema, constraint_schema, evaluation_records] optional: [dominance_rule, feasibility_policy, tie_policy] constraints: [objective directions, scales, feasibility rules, and missing-value handling are explicit]
1. Normalize candidate evaluations to the declared objective directions and units without erasing provenance. 2. Remove infeasible candidates according to hard constraints and mark unknown feasibility separately. 3. Compare every feasible candidate pair for dominance; retain candidates not dominated on all objectives. 4. Verify frontier membership, record sacrificed objectives, and emit unresolved comparisons.
produces: [pareto_frontier, dominance_matrix, excluded_candidates, unresolved_comparisons] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not collapse objectives into one score unless the objective schema explicitly authorizes it. Unknown values cannot establish dominance.
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
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