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Skill

/optimize-pareto-frontier

Generate a non-dominated frontier for a multi-objective candidate/portfolio problem.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill optimize-pareto-frontier --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/optimize-pareto-frontier

Context preview

The summary Claude sees to decide when to auto-load this skill.

Generate a non-dominated frontier for a multi-objective candidate/portfolio problem.

SKILL.md

optimize-pareto-frontier.SKILL.md
name: optimize-pareto-frontier
description: "Generate a non-dominated frontier for a multi-objective candidate/portfolio problem."

optimize-pareto-frontier

Purpose

Generate a non-dominated frontier for a multi-objective candidate or portfolio problem while preserving objective tradeoffs.

Input contract

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]

Procedure

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.

Output contract

produces: [pareto_frontier, dominance_matrix, excluded_candidates, unresolved_comparisons]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]

Quality gates

  • Frontier membership requires a complete comparison against all declared objectives or an explicit unresolved flag.
  • A candidate excluded by dominance includes the dominating candidate and the objective-wise evidence.

Failure and counterexamples

Do not collapse objectives into one score unless the objective schema explicitly authorizes it. Unknown values cannot establish dominance.

Provenance map

  • resolved: optimization-run
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Ships withde-anthropocentric-research-engine

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.

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Python
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Apache-2.0
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14h ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine