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Frontend Developer

Checked
rmyndharis·vlatest·frontend·MIT

Builds clean, responsive web interfaces using React, JavaScript, HTML, and CSS based on provided designs and specifications.

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 rmyndharis/antigravity-skills --skill frontend-developer -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Scanned
1 file, 172 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

The frontend-developer skill enables AI agents to build, modify, and debug user interfaces using modern web technologies. It handles tasks ranging from creating responsive layouts with HTML and CSS to integrating interactive components via JavaScript frameworks.

When to use it

  • Generating complete landing pages or dashboard shells from scratch based on design requirements.
  • Refactoring existing codebases to improve accessibility, performance, or mobile responsiveness.
  • Debugging layout issues or fixing broken interactions in React, Vue, or vanilla JS projects.
  • Converting Figma designs or wireframes into production-ready frontend code.

Key capabilities

  • Writing semantic HTML5 and modern CSS3 (Flexbox, Grid).
  • Developing interactive components using JavaScript frameworks.
  • Implementing responsive design patterns for various screen sizes.
  • Debugging browser console errors and optimizing asset loading.

Example prompts

"Create a responsive navbar with a mobile hamburger menu using React and Tailwind CSS." "Fix the layout shift on my checkout page that occurs when the user selects an address." "Build a simple data visualization dashboard using Chart.js and HTML5 Canvas."

Tips & gotchas

Ensure your AI agent has access to the necessary framework documentation or npm packages to generate accurate code. For complex applications, provide existing code snippets to maintain consistency with your project's architecture.