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Frontend Design

Checked
boise-state-development·vlatest·frontend

Helps with frontend development, design 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 boise-state-development/agentcore-public-stack --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

boise-state-development

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 boise-state-development/agentcore-public-stack at d22f8533f6.

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

Commit
d22f8533f6
Manifest
.claude/skills/frontend-design/SKILL.md
Scanned
2 files, 43 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 enables AI agents to perform frontend design tasks. It allows for the creation of user interfaces, likely including layout and visual elements. The agent can leverage this skill to generate designs based on provided specifications or existing templates.

When to use it

  • Designing a landing page for a new product.
  • Creating mockups for a mobile application interface.
  • Generating UI components for a web dashboard.
  • Adapting an existing design template to match brand guidelines.

Key capabilities

  • Frontend Design
  • UI Creation
  • Layout Generation
  • Template Adaptation

Example prompts

  • "Create a landing page design with a hero section, product features list, and contact form."
  • "Generate UI components for an e-commerce website, including a product card and shopping cart icon."
  • "Adapt the existing 'bootstrap_template' to use our brand colors (primary: #007bff, secondary: #6c757d)."

Tips & gotchas

The skill likely requires some level of understanding of frontend design principles or access to relevant design assets. Providing clear and specific instructions will yield better results from the AI agent.