Tech Stack Evaluator FAQs

Question 1

How does the Tech Stack Evaluator detect my current environment?

Accepted Answer

The skill uses Read, Bash, and Grep tools to inspect project configuration files such as package.json, requirements.txt, pyproject.toml, and Cargo.toml to map out your current language, framework, and dependency versions.

Question 2

Does it provide alternatives for recommended libraries?

Accepted Answer

Absolutely. It generates comparison matrices for technology alternatives (e.g., comparing Celery vs. RQ for task queues) based on maturity, complexity, and performance.

Question 3

Which programming languages are supported?

Accepted Answer

It provides specialized evaluation patterns for Python, TypeScript/JavaScript, and Rust, including specific checks for package managers like uv, npm, yarn, and cargo.

Question 4

Can this skill help with performance optimization?

Accepted Answer

Yes, it evaluates performance characteristics such as Async I/O efficiency, ORM overhead, and caching strategies (like Redis vs. In-process) to identify potential bottlenecks early in the design phase.

Question 5

Will it alert me to licensing or platform constraints?

Accepted Answer

Yes, the evaluator identifies platform limitations, deployment constraints, and licensing issues (such as avoiding GPL for commercial projects) during the recommendation process.

Tech Stack Evaluator

주요 기능

사용 사례

Tech Stack Evaluator

주요 기능

사용 사례