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/optimize-pareto-frontier

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

From plugin
de-anthropocentric-research-engine
512200 skills

Claude Code

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

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
Read more
@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

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Questions about optimize-pareto-frontier.

Which coding agents can use optimize-pareto-frontier?
optimize-pareto-frontier installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.