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Tech Stack Evaluator

Checked
alirezarezvani·vlatest·other·MIT

This skill analyzes your project's codebase to recommend a suitable tech stack based on its needs and complexity, saving you time & ensuring optimal choices.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add alirezarezvani/claude-code-skill-factory --skill tech-stack-evaluator -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

alirezarezvani

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: api.anthropic.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    api.anthropic.commodel provider

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned alirezarezvani/claude-code-skill-factory at ba18b31703.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
ba18b31703
Manifest
generated-skills/tech-stack-evaluator/SKILL.md
Scanned
14 files, 4,773 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The alirezarezvani-tech-stack-evaluator skill assesses the suitability of different technology stacks for a given project. It can analyze requirements and suggest appropriate programming languages, frameworks, databases, and other tools based on factors like scalability, performance, and maintainability. The evaluator provides reasoned recommendations to help make informed technical decisions.

When to use it

  • Project Planning: Before starting development, get an evaluation of potential tech stacks for a new application.
  • Technology Selection: When deciding between multiple technologies for a specific feature or component.
  • Architecture Review: To validate the chosen technology stack against project requirements and best practices.
  • Modernization Efforts: Evaluate existing legacy systems to identify opportunities for modernization with more suitable tech stacks.

Key capabilities

  • Technology Stack Assessment
  • Requirement Analysis
  • Scalability Considerations
  • Performance Evaluation
  • Maintainability Recommendations

Example prompts

  • "I'm building an e-commerce platform. Evaluate a tech stack that prioritizes scalability and security."
  • "What are the pros and cons of using React vs. Angular for a single-page application?"
  • "Suggest a database solution for a real-time analytics dashboard with high write throughput."

Tips & gotchas

The quality of the evaluation depends heavily on the clarity and completeness of the project requirements provided in the prompt. Be as specific as possible about functional and non-functional needs.