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Agent Skill · 前端设计

excalidraw-visuals(excalidraw visuals 浏览器)

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。

excalidraw-visuals 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 4,861。

总安装 784周安装 33GitHub Stars 9下载 275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:excalidraw-visuals(excalidraw visuals 浏览器)
来源仓库:https://github.com/aiagentwithdhruv/skills
仓库路径:skills/excalidraw-visuals
安装命令:
npx skills add https://github.com/aiagentwithdhruv/skills --skill excalidraw-visuals
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/aiagentwithdhruv/skills --skill excalidraw-visuals

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

excalidraw-visuals 基于 fal.ai 生成符合品牌规范的 Excalidraw 视觉稿。适合在 Codex、Claude、Cursor、Gemini CLI 中需要生成带图标、配色与版式约束的界面草图时使用。强制应用预设风格前缀,确保色彩、字体与形状符合指定设计系统。

需配置 FAL_KEY 环境变量,并可选提供风格参考图片以保持一致性。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/excalidraw-visuals

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/aiagentwithdhruv/skills --skill excalidraw-vis…;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

    它需要接触敏感数据,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

excalidraw-visuals 怎么安装?

在终端执行 npx skills add https://github.com/aiagentwithdhruv/skills --skill excalidraw-visuals。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

excalidraw-visuals 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。

excalidraw-visuals 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

excalidraw-visuals 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。

excalidraw-visuals 用的人多吗?

公开数据是累计安装 784 次,近一周安装 33 次,下载 275 次,GitHub 9 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。

excalidraw-visuals 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
excalidraw-visuals

excalidraw visuals 浏览器 · 本页

7849接触敏感数据未明确通过

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

Prerequisites

Before using this skill, make sure you have:

  1. A fal.ai API key (sign up at https://fal.ai) added to .env as FAL_KEY
  2. Node.js installed
  3. The generation script at scripts/excalidraw-visuals/generate-visual.js
  4. The style reference image at brand-assets/excalidraw-style-reference.png (optional — for prompt consistency)

Read the full visual specification before building any prompt:

  • style-guide.md (in this skill's folder) -- color system, font spec, shape rules, icon vocabulary, layout templates, text minimization rules

Style Prefix (LOCKED)

This exact text is prepended to EVERY prompt. Never modify it per-request.

Excalidraw-style hand-drawn diagram on a clean white background. All text uses neat, consistent architect-style handwriting -- legible, slightly rounded letters with medium stroke weight. Letter sizes are uniform within each label. Titles are bold and larger. Body labels are smaller but equally neat. This is NOT sloppy handwriting -- it looks like a designer wrote it carefully with a thick marker.

Shapes are rounded rectangles with a 2-3px dark gray (#495057) hand-drawn outline and soft pastel fills. Lines and arrows are slightly wobbly and hand-drawn, not ruler-straight. Arrowheads are simple triangles. Nothing is pixel-perfect -- everything has a natural, sketched feel with visible stroke texture.

Color palette: soft blue (#a5d8ff), warm yellow (#ffec99), soft green (#b2f2bb), coral (#ffa8a8), light purple (#d0bfff). All text is dark charcoal (#343a40). All lines and arrows are dark gray (#495057). Background is always clean white.

People are simple stick figures with round heads, no facial features. AI agents/robots have a round head with two dot eyes and a small antenna. Documents have a folded corner. Gears represent automation. All icons are simple line drawings, not detailed or cartoonish.

Layout is clean and spacious with generous whitespace. Visual hierarchy is clear -- title is largest, labels are short (max 3 words each). The overall feel is educational, friendly, and slightly more polished than basic Excalidraw -- colored fills, intentional spacing, consistent sizing, and meaningful color coding elevate it.

Do NOT include: realistic photos, gradients, drop shadows, 3D effects, corporate clip art, stock imagery, dark backgrounds, heavy borders.

Step 1: Gather Input

Get from the user:

  • What concept or process to visualize
  • Any specific elements, steps, or labels to include
  • Aspect ratio preference (default: 16:9)

If the request is vague, ask one clarifying question about what specific angle or flow to show.

Step 2: Choose a Layout Template

Pick the best layout from the style guide:

TemplateBest For
Left-to-Right FlowProcesses, sequences, transformations
Hub and SpokeCapabilities, features around a central concept
Top-to-Bottom HierarchyLevels, layers, progressive depth
Side-by-Side ComparisonBefore/after, old vs new, option A vs B
Numbered Steps ListFrameworks, checklists, ordered instructions
Cycle / LoopFeedback loops, iterative processes

Step 3: Plan the Text (Minimize It)

Plan every piece of text that will appear in the image before writing the prompt:

  1. Title: Max 5 words. Prefer 3.
  2. Box labels: Max 3 words each. Prefer 1-2.
  3. Annotations: Max 4 words each.
  4. Total word count: Target under 30 words. Absolute max 50.

Spelling protection:

  • Flag any word over 8 characters and shorten it
  • Use icons instead of words where possible
  • Use abbreviations (API, AI, DB, CLI)
  • Remove articles and prepositions

Step 4: Build the Prompt

Construct the prompt in this exact structure:

[STYLE PREFIX]

STYLE REFERENCE: Match the visual style of the reference image exactly -- same font, same shapes, same colors, same level of polish.

Diagram concept: [TITLE -- max 5 words]

Layout: [TEMPLATE NAME] -- [brief spatial description]

Elements (left to right / top to bottom):
1. [Element name] -- [color] fill, [icon if any], label: "[EXACT TEXT]"
2. [Element name] -- [color] fill, [icon if any], label: "[EXACT TEXT]"
3. ...

Connections:
- Arrow from [1] to [2], label: "[TEXT or none]"
- Arrow from [2] to [3]
...

Title at top center, bold and large: "[EXACT TITLE TEXT]"

Rules:

  • Be explicit about spatial positions ("on the left", "top center", "bottom right")
  • Assign a specific color from the palette to every filled element
  • Name every element and its exact label text
  • Describe connections/arrows with direction

Step 5: Assign Colors by Meaning

  • Flows: Blue (input) -> Yellow (process) -> Green (output)
  • Comparisons: Coral (old/bad/slow) vs Green (new/good/fast)
  • Hub and spoke: Blue center, mixed colors for spokes
  • Hierarchies: Blue (top) -> Yellow (middle) -> Green (bottom)
  • Lists/grids: Alternate colors row by row

Never leave color choice to the model. Always specify.

Step 6: Generate the Image

Always include the style reference image. This is mandatory for visual consistency.

node scripts/excalidraw-visuals/generate-visual.js "<FULL_PROMPT>" "projects/excalidraw-visuals/[YYYY-MM-DD]-[slug].png" "[ASPECT_RATIO]"

You can pass reference image URLs via --input:

node scripts/excalidraw-visuals/generate-visual.js "<FULL_PROMPT>" "projects/excalidraw-visuals/[YYYY-MM-DD]-[slug].png" "[ASPECT_RATIO]" --input "https://example.com/reference.png"

Aspect ratios: 16:9 (default), 1:1, 4:5

Note: Uses fal.ai Flux Schnell model (free tier). The style prefix in the prompt ensures consistent Excalidraw aesthetics without needing a reference image.

Step 7: Present Result

  • Show the file path for preview
  • One-line summary of what the visual shows
  • Ask if adjustments are needed

If adjustments needed: modify only the diagram-specific portion. Never change the style prefix.


File Locations

WhatPath
Style guide.claude/skills/excalidraw-visuals/style-guide.md
Scriptscripts/excalidraw-visuals/generate-visual.js
Outputprojects/excalidraw-visuals/
API key.env (FAL_KEY)

Notes

  • Uses fal.ai Flux Schnell model (free tier, ~5s per image)
  • The style prefix is locked. Only the diagram description changes per-request.
  • The style prefix in the prompt ensures consistent Excalidraw aesthetics.
  • If generation fails, check .env for FAL_KEY
  • When in doubt, fewer words and more icons
  • Alternative: Use Social-Media-Agent-1.0/Videos/scripts/generate_fal.py for Python-based generation

平台分布

Codex

36.97%
按下载量换算102

Claude

28.36%
按下载量换算78

Cursor

17.13%
按下载量换算47

Gemini CLI

10.22%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

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