evaluation

Create weighted scoring matrices to evaluate technologies and tools.

Updated Jan 23, 2026
One-click install
npx skills add https://github.com/datorresb/vibecoding-starter --skill evaluation-datorresb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evaluation
Source: https://github.com/datorresb/vibecoding-starter/tree/main/.claude/skills/research/evaluation
Command: npx skills add https://github.com/datorresb/vibecoding-starter --skill evaluation-datorresb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, criteria-based framework to compare technologies, tools, frameworks, and approaches, enabling data-driven, defensible decisions and documenting trade-offs.

Core Features & Use Cases

  • Define and weight evaluation criteria across technical, operational, team, business, and strategic dimensions.
  • Score options with a consistent 0-10 scale and capture rationale, risks, and trade-offs.
  • Use PoC validation and empirical evidence to inform decisions for vendor/tool selection, architecture choices, and platform migrations.

Quick Start

  1. Define 3-5 evaluation criteria aligned to your goals.
  2. Assign weights (HIGH/MEDIUM/LOW) and create a 0-10 scoring matrix for 2-3 options.
  3. Run lightweight PoCs or pilot studies on top candidates and update scores accordingly.

Frequently Asked Questions about evaluation

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

FAQPage Schema
How do I evaluate and compare frameworks for tech selection?

Framework evaluation requires defining 3-5 weighted criteria across technical, business, and operational dimensions, then scoring options on a 0-10 matrix to document trade-offs and drive data-driven tech selection.

What is the best way to structure a vendor comparison for a platform migration?

Vendor comparison is best structured by creating a criteria-based scoring system with assigned weights, capturing rationale and risks for each option, and validating top candidates with lightweight PoCs before finalizing platform migration decisions.

Can I use this approach for architecture pattern choices in product engineering?

Yes, architecture pattern choices in product engineering apply the same structured workflow of criteria definition, weighted scoring matrices, and PoC validation to ensure data-driven, defensible decisions and documented trade-offs.

How do I run a PoC validation for technology selections?

PoC validation for technology selections involves running lightweight pilot studies on top-scoring candidates from your matrix, then updating the 0-10 scores with empirical evidence to inform the final framework assessment.

When should I not use a weighted scoring matrix for tech selection?

A weighted scoring matrix may not suit tech selection when insufficient empirical evidence exists from PoCs, or when evaluation criteria cannot be quantified across technical, operational, and business dimensions to justify documented trade-offs.