gold-finder-solution-ranker

Rank solution candidates using weighted scoring and TCO-based convenience premiums.

Updated May 6, 2025
One-click install
npx skills add https://github.com/rodrigo-altissimo/qiartificial --skill gold-finder-solution-ranker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gold-finder-solution-ranker
Source: https://github.com/rodrigo-altissimo/qiartificial/tree/main/.claude/skills/gold-finder/solution-ranker
Command: npx skills add https://github.com/rodrigo-altissimo/qiartificial --skill gold-finder-solution-ranker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It resolves uncertainty when multiple candidate solutions must be objectively scored, ranked, and compared by both value and total cost impact, including a convenience premium for mainstream options.

Core Features & Use Cases

  • Weighted 5-dimension ranking: Produces transparent scores across Non-Obviousness, Technical Fit, Cost Efficiency, Implementation, and Longevity, with justification for each score.
  • Mainstream baseline comparison: Scores the mainstream option as the baseline so alternatives can be compared on the same scale.
  • Convenience premium cost analysis: Quantifies how much extra the user pays for convenience using TCO and premium percentages, plus non-monetary tradeoffs (e.g., lock-in and data ownership).

Quick Start

Ask the AI to evaluate and rank your discovered solutions by running the solution-ranker in ranking mode, using the provided scoring criteria and then returning both the medal-ranked list and the convenience-premium cost comparison.

Frequently Asked Questions about gold-finder-solution-ranker

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

FAQPage Schema
How do I rank competing solution candidates using a weighted scoring rubric?

You rank solution candidates by applying a weighted 5-dimension scoring rubric across Non-Obviousness, Technical Fit, Cost Efficiency, Implementation, and Longevity. This produces transparent scores with justifications, assigns medal thresholds, and filters out options failing minimum criteria.

What is a cost-of-convenience premium in TCO comparison?

A cost-of-convenience premium in TCO comparison quantifies the extra amount paid for choosing a mainstream baseline option over alternatives. It calculates this premium using total cost of ownership percentages and evaluates non-monetary tradeoffs like vendor lock-in and data ownership.

How do I calculate total cost of ownership for alternative software solutions?

You calculate total cost of ownership for alternative solutions by comparing them against a mainstream baseline using a TCO model. This computes the convenience premium percentage and evaluates non-monetary tradeoffs, providing defensible cost impact analysis for your final recommendations.

Can I use minimum-criteria filtering to eliminate unsuitable solution options?

Yes, you can use minimum-criteria filtering to eliminate unsuitable options during solution ranking. The weighted score model applies these minimum filters before assigning medal thresholds, ensuring only candidates meeting baseline requirements proceed to the final TCO-based convenience premium computation.

What is the best way to compare a mainstream baseline against discovered alternatives?

The best way to compare a mainstream baseline against discovered alternatives is applying a 5-dimension weighted scoring rubric. This scores the mainstream option on the same scale as alternatives, enabling direct TCO comparison and convenience premium calculation for transparent decision support.