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tech-stack-evaluator

Evaluate technology stacks with weighted scoring, TCO projections, and ecosystem health analysis.

Updated Nov 3, 2016
Search Tags:#architecture#migration#evaluation#comparison#ecosystem#tco
One-click install
npx skills add https://github.com/xleliberty/mydotfiles --skill tech-stack-evaluator-xleliberty
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tech-stack-evaluator
Source: https://github.com/xleliberty/mydotfiles/tree/main/.config/.claude/plugins/cache/claude-code-skills/engineering-skills/2.1.2/tech-stack-evaluator
Command: npx skills add https://github.com/xleliberty/mydotfiles --skill tech-stack-evaluator-xleliberty

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill removes the guesswork from technology selection by providing objective, data-driven comparisons, TCO calculations, and ecosystem health assessments to ensure your architectural decisions are sound and sustainable.

Core Features & Use Cases

  • Technology Comparison: Compare frameworks or cloud providers using weighted scoring based on your specific project priorities.
  • TCO Analysis: Calculate 5-year total cost of ownership, including hidden maintenance and scaling costs.
  • Ecosystem Health: Assess the long-term viability of libraries and tools using GitHub, npm, and community metrics.
  • Migration Analysis: Estimate the effort, complexity, and risks involved in migrating from legacy systems to modern stacks.

Quick Start

Use the tech-stack-evaluator to compare React and Vue for a new SaaS dashboard project with a focus on developer productivity and ecosystem maturity.

Frequently Asked Questions about tech-stack-evaluator

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

FAQPage Schema
How do I evaluate and compare cloud providers for a new software project?▼

Evaluating cloud providers involves weighted scoring based on specific project priorities, 5-year TCO projections, and ecosystem health analysis. This approach supports comparative decision-making by calculating hidden maintenance and scaling costs alongside community viability metrics.

What is the best way to calculate the total cost of ownership for a technology stack?▼

Calculating total cost of ownership (TCO) for a technology stack requires projecting 5-year costs that include hidden maintenance and scaling expenses. Data-driven TCO analysis ensures architectural decisions are sustainable by revealing long-term financial impacts beyond initial licensing or infrastructure pricing.

How do I assess ecosystem health and long-term viability before adopting a library?▼

Assessing ecosystem health for library adoption requires analyzing GitHub activity, npm metrics, and community engagement. This data-driven evaluation estimates long-term viability and risk, ensuring your chosen tools have active maintenance and sufficient community support for enterprise development.

Can I estimate the migration effort and risks when moving from a legacy system to a modern stack?▼

Estimating migration effort and risks from legacy systems to modern stacks is possible through dedicated migration analysis. This process evaluates complexity, required development effort, and potential architectural risks to provide data-backed recommendations for your transition path.

How do I use weighted scoring to choose between frameworks for an enterprise application?▼

Using weighted scoring to choose frameworks involves assigning priority weights to project-specific requirements like developer productivity and ecosystem maturity. This comparative evaluation generates objective scores, removing guesswork from architectural decisions for enterprise software development.

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