decision-matrix

Score 2–7 alternatives against weighted criteria to produce a 0–100 decision index.

3|2|Updated Jun 9, 2026
One-click install
npx skills add https://github.com/JayRHa/AgentSkills --skill decision-matrix-jayrha
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: decision-matrix
Source: https://github.com/JayRHa/AgentSkills/tree/main/decision-matrix
Command: npx skills add https://github.com/JayRHa/AgentSkills --skill decision-matrix-jayrha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Turn ambiguous, multi-option decisions into a transparent, defensible ranking by scoring options against explicit criteria.

Core Features & Use Cases

  • Frame the decision question and collect 2–7 concrete alternatives (including a do-nothing option when relevant).
  • Define criteria, assign weights, and apply must-have constraints to gate options before scoring.
  • Score each option per criterion (default 1–5) and compute a normalized 0–100 index.
  • Generate a concise report of results and rationale suitable for stakeholder review.
  • Support sensitivity analysis to test winner stability under weight perturbations.
  • Applicable to vendor/tool selection, project prioritization, feature trade-offs, and comparative evaluations.

Quick Start

Create input data describing the decision and run the included Python script to produce a ranked result.

Frequently Asked Questions about decision-matrix

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

FAQPage Schema
How do I rank vendor selection options using weighted scoring?

You can rank vendor selection options by defining 2–7 alternatives and explicit criteria, assigning weights, scoring each option 1–5, and computing a normalized 0–100 index to generate a reproducible ranking report.

What is multi-criteria decision analysis and when should I use it?

Multi-criteria decision analysis resolves decision ambiguity by scoring 2–7 options against weighted criteria, making it ideal for feature prioritization, project trade-offs, and comparative evaluations where transparent rationale is required.

How do I test if my weighted decision matrix winner is stable?

You test decision matrix winner stability by running a sensitivity analysis, which evaluates how weight perturbations across your criteria impact the final 0–100 index and overall option ranking.

Can I apply must-have constraints to gate options before scoring?

Yes, you can apply must-have constraints to gate options before scoring, ensuring that any of the 2–7 alternatives failing mandatory criteria are excluded from the weighted decision matrix calculation.

Does multi-criteria decision analysis work for feature prioritization trade-offs?

Yes, multi-criteria decision analysis works for feature prioritization by scoring 2–7 feature options against defined criteria and weights, outputting a 0–100 index and detailed report to resolve project trade-offs.

What is the maximum number of alternatives supported in a weighted decision matrix?

A weighted decision matrix supports 2–7 alternatives, allowing you to frame the decision question, include a do-nothing option if relevant, and calculate a reproducible 0–100 ranking index.