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Agent Skill · 研究检索

visual-brand-extractor(视觉品牌提取器)

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。

visual-brand-extractor 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 72,863。

总安装 186周安装 8GitHub Stars 630下载 65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
unknown

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:visual-brand-extractor(视觉品牌提取器)
来源仓库:https://github.com/gooseworks-ai/goose-skills
仓库路径:skills/visual-brand-extractor
安装命令:
npx skills add https://github.com/gooseworks-ai/goose-skills --skill visual-brand-extractor
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/gooseworks-ai/goose-skills --skill visual-brand-extractor

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。

visual-brand-extractor 从网页或图像中提取品牌视觉元素,适合建立统一的视觉识别系统。适用于研究检索与设计规范场景,可在 Goose Skills 生态中辅助竞品分析与品牌对标。通过 npx skills add 从 goose-skills 仓库安装,需确认是否接入第三方图像识别服务。

使用前应评估数据隐私政策,避免提取敏感商业信息造成合规风险。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/visual-brand-extractor

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/gooseworks-ai/goose-skills --skill visual-bran…;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

    它需要需要联网,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

visual-brand-extractor 怎么安装?

在终端执行 npx skills add https://github.com/gooseworks-ai/goose-skills --skill visual-brand-extracto…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

visual-brand-extractor 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

visual-brand-extractor 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

visual-brand-extractor 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

visual-brand-extractor 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 630 星。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。

visual-brand-extractor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
visual-brand-extractor

视觉品牌提取器 · 本页

186630需要联网未明确有提醒

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

Visual Brand Extractor

Extract a client's visual identity from their website and generate reusable style presets for slides and content assets. This is an agent-executed skill — the AI reads pages via WebFetch and performs the analysis directly.

Quick Start

Extract visual branding from https://vapi.ai for the Vapi client.

Inputs

InputRequiredDescription
Website URLYesClient's homepage or landing page URL
Client nameYesFor naming the output files
Additional pagesNoProduct page, docs page, etc. for richer extraction

Output

Two files saved to clients/<client-name>/brand/visual-identity.md:

  1. Slide preset — CSS custom properties, typography, and signature elements matching the format in skills/create-html-slides/STYLE_PRESETS.md
  2. Brand config JSON — Simple color/font config matching skills/content-asset-creator format

Process

Phase 1: Fetch Target Pages

Fetch 2-3 pages to get a representative sample of the brand:

  1. Homepage (mandatory) — the primary brand expression
  2. Product/feature page (if available) — deeper color and layout usage
  3. Blog or about page (optional) — secondary design context

Use WebFetch on each URL with a prompt like:

"Extract the full content of this page. I need: all color values (hex, rgb, hsl), font family names, CSS class names (especially Tailwind utility classes), any CSS custom properties/variables, meta tags, and the general structure of the page layout. Preserve exact color codes and font names."

Phase 2: Extract Color Palette

Analyze the fetched content to identify the color palette. Look for these sources in priority order:

2.1 CSS Custom Properties

Look for :root, html, or body blocks containing color variables:

--color-primary, --primary, --brand, --accent
--bg-*, --background-*
--text-*, --foreground-*
2.2 Meta Tags

Check for:

  • <meta name="theme-color" content="#..."> — often the primary brand color
  • <meta name="msapplication-TileColor" content="#...">
2.3 Explicit CSS Color Declarations

Search for color values in these properties:

  • background-color, background (including gradients)
  • color (text colors)
  • border-color, border
  • box-shadow (accent/glow colors)
  • fill, stroke (SVG logo colors)
2.4 Tailwind Utility Classes

If the site uses Tailwind CSS, map utility classes to hex values using the reference table below.

2.5 Classify Colors into Roles
RoleHow to Identify
bg-primarybackground-color on body, html, or outermost container. The most common background.
bg-secondaryBackground on cards, sections, or secondary containers. Slightly different from primary.
text-primarycolor on body or the most common text color.
text-secondaryMuted text variant — used on subtitles, descriptions, .text-gray-* elements.
accentMost prominent non-bg, non-text color. Found on buttons, links, CTAs, highlights. Also check <meta name="theme-color">.
accent-secondarySecond accent color, or gradient partner. Found on secondary buttons, hover states.
card-bgBackground of cards, modals, or elevated surfaces (if different from bg-primary).
2.6 Determine Theme Type

Check the luminance of bg-primary:

  • Dark theme: Dark background (black, navy, charcoal) with light text
  • Light theme: White or cream background with dark text
  • Mixed: Note if the site uses both (e.g., dark hero + light content sections)

Phase 3: Extract Typography

3.1 Find Font Sources

Look for font loading in this order:

  1. Google Fonts <link> tags — Font name is in the URL: fonts.googleapis.com/css2?family=Inter:wght@400;700 → Font: Inter, weights: 400, 700
  2. Fontshare <link> tags — Similar URL pattern: api.fontshare.com/v2/css?f[]=clash-display@400,700 → Font: Clash Display
  3. @font-face declarations — Extract the font-family value
  4. font-family CSS properties — Direct declarations on elements
3.2 Classify into Display vs Body
RoleHow to Identify
Display fontFont on h1, h2, .title, .heading, .hero-title, or the largest/boldest text.
Body fontFont on body, p, or general content elements.

If both use the same font family, it's a single-family pairing (like "Manrope + Manrope"). Note the different weights used for display (700-900) vs body (400-500).

3.3 Handle Proprietary Fonts

If the site uses a font NOT available on Google Fonts or Fontshare, map it to the closest available equivalent using the Font Fallback Table below.


Phase 4: Analyze Visual Patterns

Examine the CSS and page structure for these aesthetic signals:

SignalWhat to Look ForAesthetic Implication
Border radiusborder-radius values — large (12px+, 9999px) vs small (2-4px) vs noneRounded = friendly/modern. Sharp = corporate/bold.
Gradientslinear-gradient, radial-gradient in backgroundsGradient-forward = modern SaaS aesthetic
Shadowsbox-shadow frequency and intensityHeavy shadows = depth/elevation. None = flat/minimal.
SpacingPadding/margin sizes — generous (4rem+) vs tight (1rem)Airy = premium/minimal. Dense = information-rich.
Animations@keyframes, transition, transform presenceMotion-forward = energetic. Minimal = calm/professional.
Grid patternsBackground grid/dot patterns, decorative overlaysTechnical/developer aesthetic
Gradient orbsradial-gradient on positioned pseudo-elementsModern, atmospheric aesthetic
Borders as accentsColored border-left or border-top on sectionsEditorial, organized aesthetic
Synthesize the Vibe

Based on the signals above, compose:

  1. Vibe: 2-4 adjectives (e.g., "Clean, technical, developer-focused, modern")
  2. Layout description: 1 sentence (e.g., "Full-width dark sections with centered content and generous whitespace")
  3. Signature elements: 3-4 reproducible CSS patterns from the site

Phase 5: Generate Output

Create the file clients/<client-name>/brand/visual-identity.md with both output formats.

Output Template
# Visual Brand Identity: [Company Name]

**Extracted from:** [URL(s)]
**Date:** [YYYY-MM-DD]

---

## Slide Preset

**Vibe:** [2-4 adjectives]

**Layout:** [1 sentence describing dominant layout pattern]

**Typography:**
- Display: `[Font Name]` ([weight, e.g., 700/800])
- Body: `[Font Name]` ([weight, e.g., 400/500])

**Colors:**

:root { --bg-primary: [hex]; --bg-secondary: [hex]; --text-primary: [hex]; --text-secondary: [hex]; --accent: [hex]; --accent-secondary: [hex]; }


**Signature Elements:**
- [Element 1, e.g., "Subtle gradient orbs as background decoration"]
- [Element 2, e.g., "Rounded cards with 12px border-radius and light shadow"]
- [Element 3, e.g., "Accent-colored left border on feature blocks"]
- [Element 4, e.g., "Grid dot pattern overlay on hero sections"]

**Font Loading:**

<link href="https://fonts.googleapis.com/css2?family=[Font1]:wght@[weights]&family=[Font2]:wght@[weights]&display=swap" rel="stylesheet">


---

## Brand Config (JSON)

For use with `content-asset-creator` and other skills:

{ "name": "[Company]", "primary_color": "[accent hex]", "secondary_color": "[accent-secondary hex]", "accent_color": "[accent hex]", "background": "[bg-primary hex]", "text_color": "[text-primary hex]", "font_heading": "[Display Font]", "font_body": "[Body Font]", "logo_url": "[if discovered, otherwise omit]" }


---

## Extraction Notes

[Any notes about the extraction — proprietary fonts that were mapped, multiple themes detected, sparse CSS from JS-rendered sites, etc.]

Font Fallback Table

When a site uses a proprietary font not available on Google Fonts or Fontshare, use this mapping to find the closest available alternative:

Font CategoryProprietary ExamplesGoogle Fonts AlternativeFontshare Alternative
Geometric sansCircular, Roobert, Graphik, Product SansPlus Jakarta Sans, Outfit, ManropeGeneral Sans, Satoshi
Humanist sansProxima Nova, Calibri, Gill SansSource Sans 3, DM Sans, Work Sans—
Neo-grotesqueAkkurat, Aktiv Grotesk, Suisse Int'lSpace Grotesk, Archivo, Albert SansSwitzer
Modern serifTiempos, Canela, GT SectraFraunces, Cormorant, Playfair DisplayZodiak, Sentient
Slab serifSentinel, Clarendon, RockwellZilla Slab, Roboto Slab—
Classic serifMercury, Chronicle, MinionSource Serif 4, Lora, Libre BaskervilleBespoke Serif
MonospaceSF Mono, Berkeley Mono, Dank MonoJetBrains Mono, Fira Code, Space MonoJet Brains Mono
Display / decorativeGT Walsheim, Recoleta, CamptonSyne, Archivo Black, Bricolage GrotesqueClash Display, Cabinet Grotesk

Decision heuristic: If unsure which category a font falls into, look at its characteristics:

  • Round dots and geometric 'o' → Geometric sans
  • Varies stroke widths, warm feel → Humanist sans
  • Uniform strokes, neutral → Neo-grotesque
  • Serifs with high contrast → Modern serif

Tailwind CSS Color Reference

If the site uses Tailwind utility classes, map them to hex values:

Grays

ClassHexClassHex
gray-50#F9FAFBgray-500#6B7280
gray-100#F3F4F6gray-600#4B5563
gray-200#E5E7EBgray-700#374151
gray-300#D1D5DBgray-800#1F2937
gray-400#9CA3AFgray-900#111827
gray-950#030712

Slate (common for dark themes)

ClassHexClassHex
slate-50#F8FAFCslate-500#64748B
slate-100#F1F5F9slate-600#475569
slate-200#E2E8F0slate-700#334155
slate-300#CBD5E1slate-800#1E293B
slate-400#94A3B8slate-900#0F172A
slate-950#020617

Blues

ClassHexClassHex
blue-400#60A5FAblue-700#1D4ED8
blue-500#3B82F6blue-800#1E40AF
blue-600#2563EBblue-900#1E3A8A

Greens

ClassHexClassHex
green-400#4ADE80green-600#16A34A
green-500#22C55Egreen-700#15803D

Common Accent Colors

ClassHexClassHex
indigo-500#6366F1purple-500#A855F7
indigo-600#4F46E5violet-500#8B5CF6
emerald-500#10B981amber-500#F59E0B
teal-500#14B8A6rose-500#F43F5E
cyan-500#06B6D4orange-500#F97316

Note: Tailwind classes appear as bg-blue-600, text-gray-900, border-indigo-500, etc. Strip the property prefix (bg-, text-, border-) to get the color token, then look up the hex value above.

For custom Tailwind themes (e.g., bg-brand, text-brand-light), check the page's <script> tags for a tailwind.config object that defines custom colors.


Edge Cases

JS-Rendered Sites (Sparse CSS)

Many modern sites (Next.js, React) inject styles via JavaScript. WebFetch may return minimal inline CSS. In this case:

  • Focus on Tailwind utility classes in class attributes
  • Check <script> tags for embedded config objects
  • Look for <style> tags that contain CSS-in-JS output
  • If still sparse, ask the user: "The site appears to use dynamic styling. Could you share a screenshot or provide their brand guidelines directly?"

Multiple Color Schemes (Light/Dark Mode)

Some sites define both light and dark themes via prefers-color-scheme. Extract the default (non-media-query) theme. If a dark mode variant is detected, note it in the Extraction Notes section.

Too Many Colors

Enterprise sites may use dozens of colors. Focus on:

  • The hero/above-the-fold section for the primary palette
  • Button/CTA colors for accent identification
  • Frequency analysis — top 5-7 unique colors define the brand

No Usable Font Information

If font detection fails completely:

  1. Check if the site mentions font names in its CSS comments or config
  2. Look at the overall aesthetic and pick a matching pairing from the existing slide presets
  3. Default to a safe, distinctive pairing based on vibe: serif display + sans body for premium; geometric sans for modern tech

Example

Running this skill on https://vapi.ai might produce:

# Visual Brand Identity: Vapi

**Extracted from:** https://vapi.ai, https://docs.vapi.ai
**Date:** 2026-02-26

---

## Slide Preset

**Vibe:** Technical, developer-focused, clean, modern

**Layout:** Dark full-width sections with centered content, card-based feature grids, generous spacing

**Typography:**
- Display: `Inter` (700/800)
- Body: `Inter` (400/500)

**Colors:**
\```css
:root {
    --bg-primary: #0F172A;
    --bg-secondary: #1E293B;
    --text-primary: #F8FAFC;
    --text-secondary: #94A3B8;
    --accent: #22C55E;
    --accent-secondary: #3B82F6;
}
\```

**Signature Elements:**
- Subtle gradient orbs in background (green-to-blue radial gradients)
- Rounded cards with slate-800 background and subtle border
- Code-style monospace accents for technical terms
- Green accent on CTAs and interactive elements

**Font Loading:**
\```html
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;700;800&display=swap" rel="stylesheet">
\```

*(This is an illustrative example — actual extraction results will vary based on the live site.)*


Tips

  • Homepage is usually enough. If the homepage has clear branding, you don't need additional pages. Fetch a second page only if the homepage is sparse or uses a different aesthetic from the rest of the site.
  • Buttons reveal the accent color. The most reliable way to identify the primary accent is to find the button/CTA background color.
  • Check the favicon/logo. SVG logos often contain the exact brand colors as fill values.
  • Don't over-extract. The goal is 5-7 colors, 1-2 fonts, and 3-4 signature elements. More than that creates noise, not signal.
  • When in doubt, simplify. A 3-color palette (bg + text + accent) with one font family at two weights makes a clean, usable preset.

Dependencies

  • Web fetch capability (for reading website pages)
  • No API keys or paid tools required

平台分布

Codex

34.29%
按下载量换算22

Claude

32.07%
按下载量换算21

Cursor

19.94%
按下载量换算13

Gemini CLI

8.96%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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