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weighted-scoring

Compute weighted scores for 2-7 options across 4-8 dimensions using direct, ROC, or pairwise weights.

12|2|Updated Apr 21, 2026
Search Tags:#decision#matrix#weighted#sensitivity-analysis#mcda#vendor-selection
One-click install
npx skills add https://github.com/haomingz/kimi-skills --skill weighted-scoring
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: weighted-scoring
Source: https://github.com/haomingz/kimi-skills/tree/main/skills/weighted-scoring
Command: npx skills add https://github.com/haomingz/kimi-skills --skill weighted-scoring

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Systematic, multi-criteria decision analysis framework to compare 2-7 options across 4-8 dimensions, enabling objective scoring and transparent trade-offs.

Core Features & Use Cases

  • Structured 5-step decision process (context, dimensions, weights, scoring, analysis).
  • Flexible weight methods: direct allocation, ROC-based weighting, and pairwise comparisons.
  • Automated calculations and sensitivity analysis via a reusable Python script.

Quick Start

Run the decision_matrix.py script with your dimensions and scores to compute the weighted results and view the sensitivity analysis.

Frequently Asked Questions about weighted-scoring

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is a weighted scoring model for multi-criteria decision analysis?▼

A weighted scoring model compares 2-7 options across 4-8 dimensions by assigning weights to criteria and calculating weighted totals for objective, auditable vendor comparisons and tool evaluations.

How do I create a decision matrix for vendor selection in Python?▼

Run the decision_matrix.py script with your evaluation dimensions and scores to compute weighted results automatically and generate sensitivity analysis for your vendor selection.

What are the different methods for allocating weights in a decision matrix?▼

Weight allocation methods include direct allocation, ROC-based weighting, and pairwise comparisons, allowing flexible multi-criteria decision analysis based on available preference data.

Can I use sensitivity analysis to validate my build-vs-buy decision?▼

Yes, the decision matrix framework includes automated sensitivity analysis to test how weight changes affect build-vs-buy scoring outcomes, ensuring transparent trade-offs and robust rankings.

How many options can I evaluate with this multi-criteria decision analysis framework?▼

The framework supports comparing 2-7 options across 4-8 evaluation dimensions, making it suitable for technology selection, vendor comparisons, and tool evaluations.

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