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Design Taste Frontend

Listed
leonxlnx·vlatest·frontend·MIT

Helps with design, frontend development as part of building frontend UIs and user experiences workflows.

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 leonxlnx/taste-skill --skill design-taste-frontend -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

leonxlnx

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 13 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.artic.edu, api.openverse.org, archive.org, collectionapi.metmuseum.org, commons.wikimedia.org….

    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

    www.w3.orgstandardspicsum.photosundeclaredgithub.comsource hostcreativecommons.orgstandardsapi.openverse.orgundeclaredcommons.wikimedia.orgundeclaredapi.artic.eduundeclaredwww.artic.eduundeclaredcollectionapi.metmuseum.orgundeclaredwww.metmuseum.orgundeclaredarchive.orgundeclaredimages-api.nasa.govundeclaredwww.nasa.govundeclaredimages.nasa.govundeclared127.0.0.1localfonts.googleapis.comundeclaredfonts.gstatic.comundeclared

    What it found (3 of 27)

    • skills/taste-skill/library/photos.json:3contacts picsum.photos
      "url": "https://picsum.photos/id/{id}/{width}/{height}",
    • skills/taste-skill/scripts/draw.mjs:84contacts picsum.photos
      const line = (ph) => `- https://picsum.photos/id/${ph.id}/1600/1000 — ${ph.alt} · ${ph.tone} tone · ${(ph.colours || []).join(', ')}${ph.mono ? ' · black-and-w…
    • skills/taste-skill/scripts/draw.mjs:531contacts picsum.photos
      for (const ph of s.photos.photos) p(`- \`https://picsum.photos/id/${ph.id}/1600/1000\` — ${ph.alt} · ${ph.tone} tone · ${(ph.colours || []).join(', ')}${ph.mon…

  • 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 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 leonxlnx/taste-skill at b9ca2fd804.

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

Commit
b9ca2fd804
Manifest
skills/taste-skill/SKILL.md
Scanned
36 files, 23,864 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 design-taste-frontend skill provides AI agents with the ability to analyze and generate frontend design elements, such as layout structures, color schemes, typography choices, and responsive design principles. It is particularly useful for creating visually appealing interfaces that align with modern web standards.

When to use it

  • When designing a new website or application from scratch and needing visual guidance.
  • When optimizing an existing frontend for better aesthetics and user experience.
  • When generating mockups or prototypes quickly without manual design tools.
  • When ensuring consistency in branding across different pages or platforms.

Key capabilities

  • Analyzes current design trends and best practices
  • Generates layout structures based on content type
  • Recommends color palettes and typography styles
  • Suggests responsive design adjustments for various screen sizes

Example prompts

  • "Design a modern landing page layout for a tech startup."
  • "Suggest a color scheme that matches our brand identity."
  • "Optimize this mobile view for better readability and usability."

Tips & gotchas

  • Ensure you have clear project goals or branding guidelines to guide the AI’s suggestions.
  • While the skill provides strong recommendations, final design decisions should be reviewed by a human designer for accuracy and context.