best-option-selection

Business

Select the single best candidate from a set using WSM, TOPSIS, AHP, MAUT, or VIKOR methods.

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How to use this skill

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/best-option-selection/SKILL.md

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Best-Option Selection

Purpose: Select the single best-performing alternative from a candidate set, supporting WSM, TOPSIS, AHP, MAUT, VIKOR, and other methods.

When to use:

User needs to select "the best one" from multiple candidates
Decision scenario allows compensatory trade-offs (high scores offset low scores)
Moderate number of candidates (3-15)

Budget

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

State Ledger

strategy: best-option-selection
status: pending
criteria_defined: false
weights_computed: false
scores_computed: false
normalized: false
synthesized: false
selected_method: null
result: null

Available Tactics

scoring-matrix-construction — Standard workflow: define criteria → assign weights → score → aggregate → sensitivity

Available SOPs

Import (from scoring-matrix-construction)

criterion-definition
weight-elicitation-sop
alternative-scoring
normalization

Subagent

scoring-synthesis

Execution Guidance

Invoke scoring-matrix-construction tactic to build the score matrix
Select aggregation method based on problem characteristics (WSM for simple scenarios, TOPSIS when ideal solution reference is needed, VIKOR when compromise solution is needed)
Invoke scoring-synthesis to produce final recommendation
If user questions the result, switch methods, recompute, and compare

Output Format

## Best Option Recommendation

**Recommended:** [Alternative name]
**Overall Score:** [Score value]
**Method Used:** [WSM/TOPSIS/AHP/MAUT/VIKOR]

### Score Ranking
| Rank | Alternative | Overall Score | Key Strengths |
|------|-------------|---------------|---------------|

### Sensitivity Notes
[Impact of weight changes on the result]

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
convergence-scoring-matrix-construction	Build a complete scoring matrix through criterion definition, weighting, scoring, normalization, and sensitivity testing.