·tech-stack-evaluator
{}

tech-stack-evaluator

matteocervelli/llms

Auto-activates during requirements analysis to evaluate technical stack compatibility, recommend appropriate technologies, and assess performance implications.

7Installs·0Trend·@matteocervelli

Installation

$npx skills add https://github.com/matteocervelli/llms --skill tech-stack-evaluator

SKILL.md

The tech-stack-evaluator skill provides systematic evaluation of technical stack requirements and compatibility for feature implementations. It analyzes existing project technology, recommends appropriate libraries/frameworks, assesses compatibility, and identifies performance implications.

Version: 2.0.0 Auto-Activation: Yes (when evaluating tech stack) Phase: 1 (Requirements Analysis) Created: 2025-10-29

Auto-activates during requirements analysis to evaluate technical stack compatibility, recommend appropriate technologies, and assess performance implications. Source: matteocervelli/llms.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/matteocervelli/llms --skill tech-stack-evaluator Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

View raw

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/matteocervelli/llms --skill tech-stack-evaluator
Category
{}Data Analysis
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is tech-stack-evaluator?

Auto-activates during requirements analysis to evaluate technical stack compatibility, recommend appropriate technologies, and assess performance implications. Source: matteocervelli/llms.

How do I install tech-stack-evaluator?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/matteocervelli/llms --skill tech-stack-evaluator Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/matteocervelli/llms