combination-evaluation

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/combination-evaluation

Assesses feasibility, novelty, and difficulty of proposed combinations

  • Evaluates if combinations are technically viable and innovative
  • Uses subagent execution for multi-criteria analysis
  • Balances feasibility, novelty, and implementation barriers
  • Returns prioritized evaluation results for each combination

SKILL.md

.github/skills/combination-evaluationView on GitHub ↗
---
name: combination-evaluation
description: Evaluate new combinations for feasibility and novelty
execution: subagent
prompt: ./prompt.md
input: combination_proposals (array)
used-by: white-space-identification, design-space-mapping, general-morphological-analysis
---

# Combination Evaluation

Evaluate proposed combinations for feasibility, novelty, and implementation difficulty.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

## Why Subagent

Combination evaluation requires multi-criteria assessment of each proposed configuration, weighing technical feasibility against novelty and estimating implementation barriers.

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