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Select the single best candidate from a set using WSM, TOPSIS, AHP, MAUT, or VIKOR methods.
Passed 19 of 22 test cases with the skill, and 18 of 22 without it.
and 2 more in the full report
3 fixed16 passed either way1 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
A stakeholder disputes our preliminary score choice for selecting CRM software, claiming that a candidate with extreme scores was unfairly favored. How should the decision analysis proceed when a stakeholder questions the primary synthesis result?
| Checked | Without skill | With skill |
|---|---|---|
| Switches evaluation method to an alternative technique like TOPSIS | Missed | Passed |
| Recomputes output rankings across methods | Missed | Passed |
The instructions your model reads when the skill loads.
Purpose: Select the single best-performing alternative from a candidate set, supporting WSM, TOPSIS, AHP, MAUT, VIKOR, and other methods.
When to use:
| Base SOP | Target | ±10% Range |
|---|---|---|
| criterion-definition | 5-8 criteria | 4-9 |
| weight-elicitation-sop | 1 weight vector | 1 |
| alternative-scoring | 1 score matrix | 1 |
| normalization | 1 normalized matrix | 1 |
| scoring-synthesis | 1 recommendation | 1 |
strategy: best-option-selection
status: pending
criteria_defined: false
weights_computed: false
scores_computed: false
normalized: false
synthesized: false
selected_method: null
result: null
test cases passed, vs 18 / 22 without
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