selection-from-frontier

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/selection-from-frontier

Selects optimal portfolio from Pareto front using stakeholder preferences

  • Solves the problem of choosing between efficient portfolio options
  • Depends on Pareto front data and stakeholder preference inputs
  • Evaluates frontier solutions against decision criteria and practical constraints
  • Returns a justified selection with alternatives and tradeoff explanations

SKILL.md

.github/skills/selection-from-frontierView on GitHub ↗
---
name: selection-from-frontier
description: Select the final portfolio from the Pareto front by applying stakeholder preferences and decision criteria.
execution: subagent
prompt: ./prompt.md
input: pareto_front, preferences
used-by: portfolio-optimization
---

# Selection from Frontier

Apply stakeholder preferences, decision criteria, and practical considerations to select a single portfolio from the Pareto front.

## Execution

Spawns a subagent that evaluates Pareto front solutions against stated preferences and produces a justified selection with alternatives noted.

## Why Subagent

Selection requires integrating quantitative frontier data with qualitative preferences, practical constraints, and judgment calls. This deliberative process benefits from focused reasoning.

## HARD-GATE

Output must include the selected portfolio, explicit justification referencing frontier position, and at least one noted alternative with explanation of what would be gained/lost by choosing it instead.

More from yogsoth-ai/de-anthropocentric-research-engine

SkillDescription
abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
ablation-component-mappingMap system architecture to ablatable units for ablation studies
ablation-designDesign ablation studies to isolate component contributions in ML systems
ablation-executionRemove components one by one from a system, record the response/impact of each removal.
abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
abstraction-ladderPerform bisociation at multiple abstraction levels
abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.