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Agent Skill · 前端设计

mermaid-visualizer(Mermaid visualizer 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。

mermaid-visualizer 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,权限为需要联网;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 6,398。

总安装 514周安装 21GitHub Stars 3下载 165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:mermaid-visualizer(Mermaid visualizer 浏览器)
来源仓库:https://github.com/oldwinter/skills
仓库路径:skills/mermaid-visualizer
安装命令:
npx skills add https://github.com/oldwinter/skills --skill mermaid-visualizer
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/oldwinter/skills --skill mermaid-visualizer

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。

mermaid-visualizer 用于辅助界面设计、视觉规范和布局优化,适合生成 UI 方案或检查一致性。适用于需要整理页面结构或改进组件层级的场景。使用时需结合品牌和设计系统,避免堆砌装饰元素。涉及真实页面改动时应通过截图或预览检查文本溢出和对齐。

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/mermaid-visualizer

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/oldwinter/skills --skill mermaid-visualizer;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

mermaid-visualizer 怎么安装?

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

mermaid-visualizer 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。

mermaid-visualizer 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。

mermaid-visualizer 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。

mermaid-visualizer 用的人多吗?

公开数据是累计安装 514 次,近一周安装 21 次,下载 165 次,GitHub 3 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。

mermaid-visualizer 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

  • 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

  • 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
mermaid-visualizer

Mermaid visualizer 浏览器 · 本页

5143需要联网未明确通过

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

Mermaid Visualizer

Overview

Convert text content into clean, professional Mermaid diagrams optimized for presentations and documentation. Automatically handles common syntax pitfalls (list syntax conflicts, subgraph naming, spacing issues) to ensure diagrams render correctly in Obsidian, GitHub, and other Mermaid-compatible platforms.

Quick Start

When creating a Mermaid diagram:

  1. Analyze the content - Identify key concepts, relationships, and flow
  2. Choose diagram type - Select the most appropriate visualization (see Diagram Types below)
  3. Select configuration - Determine layout, detail level, and styling
  4. Generate diagram - Create syntactically correct Mermaid code
  5. Output in markdown - Wrap in proper code fence with optional explanation

Default assumptions:

  • Vertical layout (TB) unless horizontal requested
  • Medium detail level (balanced between simplicity and information)
  • Professional color scheme with semantic colors
  • Obsidian/GitHub compatible syntax

Diagram Types

1. Process Flow (graph TB/LR)

Best for: Workflows, decision trees, sequential processes, AI agent architectures

Use when: Content describes steps, stages, or a sequence of actions

Key features:

  • Swimlanes via subgraph for grouping related steps
  • Arrow labels for transitions
  • Feedback loops and branches
  • Color-coded stages

Configuration options:

  • layout: "vertical" (TB), "horizontal" (LR)
  • detail: "simple" (core steps only), "standard" (with descriptions), "detailed" (with annotations)
  • style: "minimal", "professional", "colorful"

2. Circular Flow (graph TD with circular layout)

Best for: Cyclic processes, continuous improvement loops, agent feedback systems

Use when: Content emphasizes iteration, feedback, or circular relationships

Key features:

  • Central hub with radiating elements
  • Curved feedback arrows
  • Clear cycle indicators

3. Comparison Diagram (graph TB with parallel paths)

Best for: Before/after comparisons, A vs B analysis, traditional vs modern systems

Use when: Content contrasts two or more approaches or systems

Key features:

  • Side-by-side layout
  • Central comparison node
  • Clear differentiation via color/style

4. Mindmap

Best for: Hierarchical concepts, knowledge organization, topic breakdowns

Use when: Content is hierarchical with clear parent-child relationships

Key features:

  • Radial tree structure
  • Multiple levels of nesting
  • Clean visual hierarchy

5. Sequence Diagram

Best for: Interactions between components, API calls, message flows

Use when: Content involves communication between actors/systems over time

Key features:

  • Timeline-based layout
  • Clear actor separation
  • Activation boxes for processes

6. State Diagram

Best for: System states, status transitions, lifecycle stages

Use when: Content describes states and transitions between them

Key features:

  • Clear state nodes
  • Labeled transitions
  • Start and end states

Critical Syntax Rules

Always follow these rules to prevent parsing errors:

Rule 1: Avoid List Syntax Conflicts

❌ WRONG: [1. Perception]       → Triggers "Unsupported markdown: list"
✅ RIGHT: [1.Perception]         → Remove space after period
✅ RIGHT: [① Perception]         → Use circled numbers (①②③④⑤⑥⑦⑧⑨⑩)
✅ RIGHT: [(1) Perception]       → Use parentheses
✅ RIGHT: [Step 1: Perception]   → Use "Step" prefix

Rule 2: Subgraph Naming

❌ WRONG: subgraph AI Agent Core  → Space in name without quotes
✅ RIGHT: subgraph agent["AI Agent Core"]  → Use ID with display name
✅ RIGHT: subgraph agent          → Use simple ID only

Rule 3: Node References

❌ WRONG: Title --> AI Agent Core  → Reference display name directly
✅ RIGHT: Title --> agent          → Reference subgraph ID

Rule 4: Special Characters in Node Text

✅ Use quotes for text with spaces: ["Text with spaces"]
✅ Escape or avoid: quotation marks → use 『』instead
✅ Escape or avoid: parentheses → use 「」instead
✅ Line breaks in circle nodes only: ((Text<br/>Break))

Rule 5: Arrow Types

  • --> solid arrow
  • -.-> dashed arrow (for supporting systems, optional paths)
  • ==> thick arrow (for emphasis)
  • ~~~ invisible link (for layout only)

For complete syntax reference and edge cases, see references/syntax-rules.md

Configuration Options

All diagrams accept these parameters:

Layout:

  • direction: "vertical" (TB), "horizontal" (LR), "right-to-left" (RL), "bottom-to-top" (BT)
  • aspect: "portrait" (default), "landscape" (wide), "square"

Detail Level:

  • simple: Core elements only, minimal labels
  • standard: Balanced detail with key descriptions (default)
  • detailed: Full annotations, explanations, and metadata
  • presentation: Optimized for slides (larger text, fewer details)

Style:

  • minimal: Monochrome, clean lines
  • professional: Semantic colors, clear hierarchy (default)
  • colorful: Vibrant colors, high contrast
  • academic: Formal styling for papers/documentation

Additional Options:

  • show_legend: true/false - Include color/symbol legend
  • numbered: true/false - Add sequence numbers to steps
  • title: string - Add diagram title

Example Usage Patterns

Pattern 1: Basic request

User: "Visualize the software development lifecycle"
Response: [Analyze → Choose graph TB → Generate with standard detail]

Pattern 2: With configuration

User: "Create a horizontal flowchart of our sales process with lots of detail"
Response: [Analyze → Choose graph LR → Generate with detailed level]

Pattern 3: Comparison

User: "Compare traditional AI vs AI agents"
Response: [Analyze → Choose comparison layout → Generate with contrasting styles]

Workflow

  1. Understand the content

- Identify main concepts, entities, and relationships - Determine hierarchy or sequence - Note any comparisons or contrasts

  1. Select diagram type

- Match content structure to diagram type - Consider user's presentation context - Default to process flow if ambiguous

  1. Choose configuration

- Apply user-specified options - Use sensible defaults for unspecified options - Optimize for readability

  1. Generate Mermaid code

- Follow all syntax rules strictly - Use semantic naming (descriptive IDs) - Apply consistent styling - Test for common errors: - No "number. space" patterns in node text - All subgraphs use ID["display name"] format - All node references use IDs not display names

  1. Output with context

- Wrap in ```mermaid code fence - Add brief explanation of diagram structure - Mention rendering compatibility (Obsidian, GitHub, etc.) - Offer to adjust or create variations

Color Scheme Defaults

Standard professional palette:

  • Green (#d3f9d8/#2f9e44): Input, perception, start states
  • Red (#ffe3e3/#c92a2a): Planning, decision points
  • Purple (#e5dbff/#5f3dc4): Processing, reasoning
  • Orange (#ffe8cc/#d9480f): Actions, tool usage
  • Cyan (#c5f6fa/#0c8599): Output, execution, results
  • Yellow (#fff4e6/#e67700): Storage, memory, data
  • Pink (#f3d9fa/#862e9c): Learning, optimization
  • Blue (#e7f5ff/#1971c2): Metadata, definitions, titles
  • Gray (#f8f9fa/#868e96): Neutral elements, traditional systems

Common Patterns

Swimlane Pattern (Grouping)

graph TB
    subgraph core["Core Process"]
        A --> B --> C
    end
    subgraph support["Supporting Systems"]
        D
        E
    end
    core -.-> support

Feedback Loop Pattern

graph TB
    A[Start] --> B[Process]
    B --> C[End]
    C -.->|Feedback| A

Hub and Spoke Pattern

graph TB
    Central[Hub]
    A[Spoke 1] --> Central
    B[Spoke 2] --> Central
    C[Spoke 3] --> Central

Quality Checklist

Before outputting, verify:

  • No "number. space" patterns in any node text
  • All subgraphs use proper ID syntax
  • All arrows use correct syntax (-->, -.->)
  • Colors applied consistently
  • Layout direction specified
  • Style declarations present
  • No ambiguous node references
  • Compatible with Obsidian/GitHub renderers

References

For detailed syntax rules and troubleshooting, see:

平台分布

Codex

36.06%
按下载量换算59

Claude

32.64%
按下载量换算54

Cursor

17.56%
按下载量换算29

Gemini CLI

9.28%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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