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Frontend Design

Checked
langconfig·vlatest·frontend·MIT

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

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 langconfig/langconfig --skill frontend-design -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

langconfig

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 langconfig/langconfig at 701c8f259e.

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

Scanned
1 file, 252 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, langconfig-frontend-design, enables AI agents to design user interfaces. It facilitates creating visually appealing and functional frontends by leveraging pre-built components and adhering to established design principles. The skill aims to streamline the frontend development process for various applications.

When to use it

  • Rapid Prototyping: Quickly generate initial UI designs for new projects or features.
  • A/B Testing Variations: Create multiple versions of a user interface for testing different layouts and elements.
  • Design System Integration: Implement components from an existing design system into a frontend application.
  • Automated UI Generation: Automatically produce basic UI structures based on data models or specifications.

Key capabilities

  • UI component generation
  • Adherence to design principles
  • Integration with design systems
  • Frontend development streamlining

Example prompts

  • "Create a simple login form with email and password fields."
  • "Generate a product card component for an e-commerce website, including image, title, and price."
  • "Design a dashboard layout with key performance indicators displayed in charts."

Tips & gotchas

The skill's effectiveness depends on the clarity of your instructions. Providing specific details about desired components or design system guidelines will yield better results.