F

Frontend Design Extractor

VERIFIED

by community

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86,900installs
Updated May 2026

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Description

Extract reusable UI/UX design systems from frontend codebases: design tokens, global styles, components, interaction patterns, and page templates. Use when analyzing any frontend repo (React/Vue/Angular/Next/Vite/etc.) to document or migrate UI/UX for reuse across projects. Focus on UI/UX only; explicitly ignore business logic and domain workflows.

Install Frontend Design Extractor

Run this in your OpenClaw agent to add Frontend Design Extractor from the ClawHub registry.

terminal
$openclaw skills install frontend-design-extractor

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

⚠️警告75/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is Frontend Design Extractor safe to install?

Frontend Design Extractor has a SkillsReview security score of 75/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does Frontend Design Extractor cost?

Frontend Design Extractor is free to install for OpenClaw via ClawHub.

What are the best alternatives to Frontend Design Extractor?

You can compare Frontend Design Extractor side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install Frontend Design Extractor?

Install Frontend Design Extractor from ClawHub at clawhub.ai/skills/frontend-design-extractor, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score3.69 / 5.00
Installs86,900
Last UpdateMay 17, 2026
Actively maintained (24d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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