screening-then-scoring
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/screening-then-scoringFirst eliminate non-qualifying alternatives using non-compensatory rules, then perform fine-grained scoring and ranking of survivors. Suitable for scenarios with large candidate sets or hard constraints.
SKILL.md
.github/skills/screening-then-scoringView on GitHub ↗
--- name: screening-then-scoring description: First eliminate non-qualifying candidates with non-compensatory rules, then score survivors with full MCDA methods. execution: tactic used-by: multi-criteria-scoring --- # Screening Then Scoring First eliminate non-qualifying alternatives using non-compensatory rules, then perform fine-grained scoring and ranking of survivors. Suitable for scenarios with large candidate sets or hard constraints. ## Stages 1. **Threshold Setting** — Set minimum thresholds for critical criteria 2. **Conjunctive Filtering** — Eliminate non-qualifying alternatives based on thresholds 3. **Dominance Check** — Identify dominated alternatives among survivors (optional further reduction) 4. **Full Scoring** — Execute scoring-matrix-construction workflow on survivors ## Available SOPs - threshold-setting — Set criteria thresholds - conjunctive-filter — Conjunctive rule elimination - dominance-check — Dominance relationship check - criterion-definition — Fine-grained scoring criteria (Stage 4) - weight-elicitation-sop — Weight computation (Stage 4) - alternative-scoring — Alternative scoring (Stage 4) - normalization — Normalization (Stage 4) - scoring-synthesis — Comprehensive recommendation (Stage 4) ## Execution Guidance - Stages 1-3 are the screening phase, rapidly reducing the candidate set - Screening criteria should focus on hard constraints (safety, compliance, budget caps, etc.) - Survivor count should ideally be 3-8 before entering fine-grained scoring - If too few survivors after screening (<3), consider relaxing thresholds - If too many survivors (>10), add screening criteria or tighten thresholds - Stage 4 reuses the complete scoring-matrix-construction tactic workflow ## Minimum Yield Elimination rationale + survivor ranking