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Tech Stack Evaluation

Checked
eyadsibai·vlatest·database

This skill analyzes your codebase to assess your tech stack's health and potential improvements for efficiency & modernization.

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 eyadsibai/ltk --skill tech-stack-evaluation -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

eyadsibai

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

    Makes no network calls.

    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.

  • 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 eyadsibai/ltk at f8e85697b9.

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

Commit
f8e85697b9
Manifest
plugins/ltk-product/skills/tech-stack-evaluation/SKILL.md
Scanned
1 file, 197 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

This skill provides a framework for evaluating technology choices and making informed decisions about your tech stack. It uses a structured approach, including weighted factors like team experience, performance, cost (TCO), integration, and security to compare different options. The tool facilitates comparisons across frontend frameworks, backend languages, databases, and cloud providers, helping you determine the best fit for your needs.

When to use it

  • Choosing between different frontend frameworks (e.g., React vs. Vue vs. Angular).
  • Evaluating various backend programming languages (e.g., Node.js vs. Python vs. Go vs. Java).
  • Comparing database options (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB).
  • Assessing different cloud providers (e.g., AWS, GCP, Azure).
  • Planning technology migrations or standardizing your tech stack.

Key capabilities

  • Decision Matrix: Provides a structured matrix for comparing technologies based on weighted factors.
  • Scoring Guide: Offers a scoring system (1-5) to evaluate options against defined criteria.
  • Comparative Analysis: Includes pre-populated comparisons of common frontend frameworks, backend languages, and databases.
  • Cloud Provider Comparison: Offers a comparison framework for evaluating AWS, GCP, and Azure based on factors like market share, services offered, pricing, and free tier availability.
  • Evaluation Process Guidance: Outlines a five-step process: defining requirements, identifying options, building proof of concepts, performing total cost analysis, and assessing risks.

Example prompts

  • "Compare React, Vue, and Angular for a new frontend project."
  • "Evaluate Node.js, Python, Go, and Java for backend development based on performance and ease of learning."
  • "What are the pros and cons of PostgreSQL vs. MySQL?"

Tips & gotchas

  • Define Requirements First: The skill emphasizes defining clear requirements (scale, performance, budget, team skills, timeline) before evaluating options. This is crucial for accurate comparisons.
  • Proof of Concept Recommended: Building a minimal proof-of-concept for the top 2-3 options is suggested to validate assumptions and gain practical experience.