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Ui Analyzer

Checked
smallnest·vlatest·frontend·MIT

Analyzes UI elements on any webpage to extract data like text, links, and attributes for automation tasks.

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 smallnest/langgraphgo --skill ui-analyzer -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

smallnest

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 smallnest/langgraphgo at 8babee09de.

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

Commit
8babee09de
Manifest
testdata/skills/ui-analyzer/SKILL.md
Scanned
4 files, 1,531 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 UI Analyzer skill transforms UI design screenshots, mockups, or Figma exports into production-ready React components using TypeScript and Tailwind CSS. It provides a systematic workflow for analyzing layouts, extracting design tokens, identifying UI components, and generating clean code that matches the design while adhering to best practices. The goal is to convert visual designs into structured, accessible, and maintainable code.

When to use it

  • When you have a UI design screenshot or mockup.
  • When you need to "implement this design" or "build this UI."
  • When you want help understanding the structure of a UI.
  • When converting a design into code is required.
  • When matching an existing design is needed.

Key capabilities

  • Analyzes UI screenshots and converts them to React components (TypeScript & Tailwind CSS).
  • Identifies high-level layout structures (single column, sidebar, header + content, grid, etc.).
  • Breaks down layouts into sections like headers, main content areas, sidebars, and footers.
  • Systematically identifies UI components such as navigation elements, data displays, input fields, action buttons, and overlays.
  • Extracts design system values (design tokens).

Example prompts

  • "Analyze this screenshot and generate a React component." [followed by image upload]
  • "Implement this design." [followed by image upload or Figma export link]
  • "Can you describe the layout of this UI?" [followed by image upload]

Tips & gotchas

  • The skill relies on initial observation and user confirmation before proceeding.
  • It uses reference documents (layout-patterns.md, ui-analysis-checklist.md, design-tokens.md) for analysis and implementation patterns.