Token导航 LogoToken导航

Agent Skill · 研究检索

design-extractor-clawhub(设计 extractor ClawHub)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

design-extractor-clawhub 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为可写文件;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 31,434。

总安装 2,709周安装 114GitHub Stars 公开资料未说明下载 948核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:design-extractor-clawhub(设计 extractor ClawHub)
来源仓库:https://github.com/html1602/design-extractor-clawhub
安装命令:
openclaw skills install design-extractor-clawhub
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install design-extractor-clawhub

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

从现有代码中提取设计标记并通过 Awesome-design-md 比较生成 DESIGN.md

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install design-extractor-clawhub;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要可写文件,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

design-extractor-clawhub 怎么安装?

在终端执行 openclaw skills install design-extractor-clawhub。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

design-extractor-clawhub 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

design-extractor-clawhub 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

design-extractor-clawhub 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

design-extractor-clawhub 用的人多吗?

公开数据是累计安装 2,709 次,近一周安装 114 次,下载 948 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

design-extractor-clawhub 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
design-extractor-clawhub

设计 extractor ClawHub · 本页

2,709—可写文件MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
design-extractor
description
Extract design tokens from existing code and generate DESIGN.md with awesome-design-md comparison
version
1.0.0
metadata
openclaw
requires
bins
primaryEnv
null
emoji
🎨
homepage
https://github.com/moyubox/design-extractor
always
false
aiCompatibility
claudeCode
format
markdown-headers
location
.claude/skills/design-extractor/skill.md
conversionSteps
autoConvertible
true
script
|
vscodeCopilot
format
.github/copilot/instructions.md
supported
false
cursor
format
.cursor/rules.md
supported
false

Design Extractor

Extract design tokens from existing project code and generate standard DESIGN.md files.

Overview

This skill analyzes your project's CSS, SCSS, Vue, and other style files to:

  • Extract color palettes with usage statistics
  • Identify typography systems (fonts, sizes, weights)
  • Catalog spacing values (padding, margin, gaps)
  • Document visual effects (borders, shadows)
  • Compare with awesome-design-md brands

Trigger Conditions

This skill activates when user requests:

  • "Extract design from my project"
  • "Generate DESIGN.md"
  • "Analyze project styles"
  • "Extract colors/fonts from codebase"
  • "Create design documentation"
  • Any request involving design system extraction

Prerequisites

  • Node.js >= 18.0.0
  • Project with style files (.css, .scss, .vue, etc.)

Installation

# Via ClawHub CLI
clawhub install design-extractor

# Or manually clone
git clone https://github.com/moyubox/design-extractor.git
clawhub skill publish ./design-extractor

Usage

Command Line

# Extract from specific directory
npx design-extractor frontend/src

# Extract from current project
npx design-extractor .

# Output will be:
# - DESIGN-EXTRACTED.md (extracted design system)
# - Docs/Design/extracted-analysis.json (raw data)

As a Skill

Once installed, the skill automatically:

  1. Scans project for style files
  2. Extracts all design tokens
  3. Categorizes colors (primary, background, text, accent)
  4. Compares with awesome-design-md brands
  5. Generates DESIGN.md

What Gets Extracted

CategoryDetails
ColorsCSS variables, hex codes, RGB values with usage frequency
TypographyFont families, sizes, weights, line heights
SpacingPadding, margin, gap values
EffectsBorder radius, box shadows, borders
ComponentsButton, input, card patterns

Example Output

# Project Design System

> Extracted from: frontend/src
> Date: 2026-04-08

## Color Palette

### Primary
- **Primary** (`#667eea`): 24 uses
- **Secondary** (`#764ba2`): 10 uses

### Background
- **Background** (`#ffffff`): 26 uses

## Comparison

Closest awesome-design-md match:
- Mintlify: 100% similarity
- Stripe: 100% similarity
- Vercel: 66.7% similarity

Cross-Platform Compatibility

For AI Agents: Converting to Claude Code

If you're an AI assistant (Claude, GPT, etc.) and need to convert this ClawHub skill to Claude Code format:

Automatic Conversion Steps:

  1. Read this SKILL.md file
  2. Extract sections:

- metadata.description → "## Description" - ## Trigger Conditions → "## Trigger Conditions" - ## Execution Steps → "## Execution Steps" - All content after frontmatter

  1. Create Claude Code structure:
   .claude/skills/design-extractor/
   └── skill.md
  1. Generate Claude Code skill.md:
   # Design Extractor

   ## Name
   design-extractor

   ## Description
   Extract design tokens from existing code and generate DESIGN.md 
   with awesome-design-md comparison.

   ## Trigger Conditions
   - User requests design extraction
   - User asks to generate DESIGN.md
   - User wants to analyze project styles
   - [Add all trigger conditions from this file]

   ## Execution Steps
   ### 1. Scan Project
   [Copy execution steps from this file]

   ## Implementation
   Use the Node.js script at scripts/extract-design.js

Quick Conversion Template:

// conversion-script.js
const fs = require('fs');
const yaml = require('yaml');

const skillContent = fs.readFileSync('SKILL.md', 'utf8');
const [, frontmatter, body] = skillContent.split('---');
const metadata = yaml.parse(frontmatter);

const claudeSkill = `# ${metadata.name}

## Name
${metadata.name}

## Description
${metadata.description}

## Trigger Conditions
${extractTriggers(body)}

## Execution Steps
${extractExecution(body)}

${body}
`;

fs.mkdirSync('.claude/skills/' + metadata.name, { recursive: true });
fs.writeFileSync('.claude/skills/' + metadata.name + '/skill.md', claudeSkill);
console.log('Converted to Claude Code format!');

Manual Conversion Checklist

  • [ ] Remove YAML frontmatter
  • [ ] Add "## Name" section
  • [ ] Add "## Description" section
  • [ ] Ensure "## Trigger Conditions" exists
  • [ ] Ensure "## Execution Steps" exists
  • [ ] Place in .claude/skills/{name}/skill.md

Technical Details

Extraction Algorithm

  1. File Discovery: Recursively scans for .vue, .css, .scss, .less files
  2. Regex Extraction: Uses patterns for colors, fonts, spacing
  3. Normalization: Converts #fff → #ffffff, rgb() → hex
  4. Categorization: Classifies colors by luminance and usage
  5. Comparison: Matches against known design systems

Supported File Types

  • Vue Single File Components (.vue)
  • CSS (.css)
  • SCSS/Sass (.scss, .sass)
  • Less (.less)

Metadata Reference

For AI agents parsing this file:

skillType: "design-extraction"
language: "javascript"
platform: "node"
outputFormat: "markdown"
designSystemReference: "awesome-design-md"

License

MIT-0 (Public Domain)

Related


AI Note: This file contains both ClawHub-compatible metadata AND instructions for converting to other AI platforms. Preserve the "aiCompatibility" section when forking or modifying.

平台分布

OpenClaw

95.92%
按下载量换算909

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills