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