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