Can I prioritize specific criteria like performance over cost?

Absolutely. The tool supports weighted decision matrices where you can assign custom priority percentages to performance, cost, security, and other factors.

Can it compare specific npm or GitHub packages?

Yes, it fetches real-time data from npm and GitHub to provide health scores, download statistics, and maintenance status for specific libraries.

Does it provide financial estimates for cloud hosting?

It includes a TCO calculator that projects comprehensive costs over 5 years, including licensing, hosting, and developer productivity impact.

How does it help with legacy migrations?

The skill analyzes code complexity and architectural impact to estimate effort, timelines, and potential risks when moving from legacy to modern stacks.

Is it compatible with both CLI and Desktop environments?

Yes, it automatically detects your environment and provides terminal-friendly tables for CLI or rich markdown and charts for the Claude Desktop app.

Tech Stack Evaluator

Name: Tech Stack Evaluator
Author: chaorenex1

bychaorenex1

•

Developer Tools

Evaluates and compares technology stacks using data-driven metrics, TCO analysis, and security assessments to guide engineering decisions.

About

This skill empowers engineering teams to make objective, data-driven decisions when choosing between frameworks, libraries, or cloud providers. By analyzing total cost of ownership (TCO), ecosystem health, security posture, and migration complexity, it provides comprehensive decision matrices and actionable recommendations. Whether you are choosing a database, evaluating a cloud migration, or comparing frontend frameworks, this tool automates the gathering of performance benchmarks, community metrics, and financial projections to ensure long-term architectural stability and cost-efficiency.

Key Features

Automated migration path analysis with risk and effort estimation
Head-to-head technology and framework comparisons with weighted scoring
Financial modeling with 5-year TCO and ROI projections
Detailed security assessments including CVE counts and compliance readiness
Ecosystem health scoring based on real-time GitHub and package manager data
1 GitHub stars

Use Cases

Evaluating the feasibility and cost of migrating legacy applications to modern stacks
Comparing cloud providers (AWS vs. Azure vs. GCP) for specific enterprise workloads
Selecting the optimal database or backend architecture for new SaaS products

About

Key Features

Automated migration path analysis with risk and effort estimation
Head-to-head technology and framework comparisons with weighted scoring
Financial modeling with 5-year TCO and ROI projections
Detailed security assessments including CVE counts and compliance readiness
Ecosystem health scoring based on real-time GitHub and package manager data
1 GitHub stars

Use Cases

Evaluating the feasibility and cost of migrating legacy applications to modern stacks
Comparing cloud providers (AWS vs. Azure vs. GCP) for specific enterprise workloads
Selecting the optimal database or backend architecture for new SaaS products