scoring-synthesis
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/scoring-synthesisSynthesizes scores, rankings, and sensitivity into a final recommendation
- Aggregates multi-criteria scoring data into actionable decision insights
- Uses score matrix, rankings, and sensitivity analysis from prior steps
- Evaluates trade-offs and stability across criteria to determine optimal choice
- Produces structured output with recommendation, confidence, and risk factors
SKILL.md
.github/skills/scoring-synthesisView on GitHub ↗
--- name: scoring-synthesis description: Synthesize score matrix, rankings, and sensitivity analysis into a final recommendation. execution: subagent prompt: ./prompt.md input: score_matrix (object), rankings (object), sensitivity (object) used-by: multi-criteria-scoring --- # Scoring Synthesis Synthesize scoring matrix, ranking results, and sensitivity analysis to produce final decision recommendations. ## Execution Subagent receives complete scoring data, ranking results, and sensitivity analysis, produces a structured final recommendation. ## Why Subagent Comprehensive recommendation requires weighing multiple signals and making judgments; independent execution ensures recommendation completeness and traceability. ## HARD-GATE Final recommendation must include a clear recommended alternative, confidence assessment, key assumptions, and risk warnings; reports without conclusions are not allowed.
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