Tech Stack Evaluator

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by questnova502 · vlatest · Repository

This skill analyzes project code to assess its tech stack, revealing dependencies and potential issues for improved maintenance & modernization.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add questnova502-tech-stack-evaluator npx -- -y @trustedskills/questnova502-tech-stack-evaluator
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "questnova502-tech-stack-evaluator": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/questnova502-tech-stack-evaluator"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The tech-stack-evaluator skill analyzes a given technology stack and provides a structured evaluation. It assesses the suitability of technologies for specific project requirements, identifying potential strengths, weaknesses, and alternative options. This includes evaluating factors like cost, scalability, security, and developer familiarity.

When to use it

  • Project Planning: Determine the best combination of tools and frameworks for a new software development project.
  • Technology Migration: Evaluate existing technology choices and identify potential improvements or replacements.
  • Architecture Review: Assess the alignment of current technologies with business goals and technical constraints.
  • Vendor Selection: Compare different vendors offering similar solutions based on their underlying technology stacks.

Key capabilities

  • Stack analysis
  • Suitability assessment
  • Identification of strengths and weaknesses
  • Alternative option suggestions
  • Structured evaluation reports

Example prompts

  • "Evaluate the tech stack: React, Node.js, PostgreSQL for a social media application."
  • "Assess the suitability of AWS Lambda, DynamoDB, and API Gateway for a real-time analytics dashboard."
  • "Compare the pros and cons of using Python vs. Java for machine learning projects."

Tips & gotchas

The quality of the evaluation depends heavily on the clarity and completeness of the provided technology stack description. Be specific about versions and intended use cases to get more accurate results.

Tags

🛡️

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Security Audits

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Details

Version
vlatest
License
Author
questnova502
Installs
5

🌐 Community

Passed automated security scans.