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Multi-Criteria Scoring Campaign — evaluate and rank candidates against multiple weighted criteria using AHP, BWM, TOPSIS, VIKOR, ELECTRE, PROMETHEE, MAUT methods.
Passed 9 of 20 test cases with the skill, and 13 of 20 without it.
2 fixed8 passed either way6 still failing6 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are screening 12 commercial real estate properties across 5 criteria. Property management insists that any property scoring below 6/10 on structural safety or below 7/10 on fire compliance must be immediately eliminated regardless of overall average score. Please apply this filtering rule.
| Checked | Without skill | With skill |
|---|---|---|
| Applies a conjunctive filter using minimum criteria thresholds. | Missed | Passed |
| Disqualifies candidates that fail any individual threshold. | Missed | Passed |
The instructions your model reads when the skill loads.
Evaluate and rank candidate alternatives using multi-criteria weighted assessment. Supports mainstream MCDA methods including AHP, BWM, TOPSIS, VIKOR, ELECTRE, PROMETHEE, and MAUT, covering the full workflow from criteria definition, weighting, scoring, to sensitivity analysis.
| Signal | Strategy |
|---|---|
| "What criteria? How to score?" / select best option / rank by criteria | best-option-selection |
| "Full ranking" / full ranking / league table / priority list | full-ranking |
| "Categorize" / categorize / A/B/C grading / compliance sorting | category-sorting |
| "Eliminate non-qualifying" / go/no-go / safety screening / veto | non-compensatory-screening |
| "Determine weights" / weight negotiation / criteria importance | weight-elicitation |
| Strategy | Purpose | Budget |
|---|---|---|
| best-option-selection | Select best option from candidates | M |
| full-ranking | Produce complete priority ranking | M |
| category-sorting | Classify candidates into predefined categories | M |
| non-compensatory-screening | Eliminate non-qualifying candidates | S |
| weight-elicitation | Determine criteria weights | S |
| Tactic | Purpose |
|---|---|
| scoring-matrix-construction | Define criteria → assign weights → score → aggregate → sensitivity check |
| screening-then-scoring | Non-compensatory elimination first → then fine-grained scoring of survivors |
| multi-method-triangulation | Multi-method comparison → identify method-sensitive options |
| SOP | Purpose |
|---|---|
| criterion-definition | Extract evaluation criteria from research goals and candidates |
| weight-elicitation-sop | Compute criteria weights using specified method |
test cases passed, vs 13 / 20 without
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