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smseow001

Architecture Diagram

by SMS · GitHub ↗ · v2.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install architecture-diagram
Description
AI architecture diagram generator supporting Mermaid charts. Generate system architecture, cloud architecture, neural network, graph theory, flowchart, ER di...
README (SKILL.md)

Architecture Diagram / 架构图生成助手

功能 / Features

  1. Generate Mermaid code (copy & paste anywhere)
  2. Direct image generation via Kroki API (free, no API key!)
  3. Online editor link for customization

Supported Types / 支持类型

类型 关键词
🤖 AI/LLM 大模型 大模型, llm, neural, transformer
📊 图论/矩阵 图论, 7x7, 矩阵, graph, matrix
☁️ 云架构 , aws, cloud, azure, 阿里云
🌐 网络拓扑 网络, router, network, openwrt
🔀 流程图 流程, flow, flowchart, 工作流
📋 ER图 er, database, 数据库
🐳 Docker/K8s docker, k8s, container

Usage / 使用方法

Command Format / 命令格式

生成架构图 \x3C描述>      # 中文
architecture \x3Cdesc>   # English

Examples / 示例

生成架构图 大模型系统架构
architecture cloud aws architecture
生成架构图 神经网络
architecture neural network

Image Generation / 图片生成

Uses Kroki API (https://kroki.io) - 100% free, no API key needed!

IMPORTANT: Use PNG format, NOT SVG!

  • SVG → image conversion (cairosvg/PIL) loses text inside boxes
  • Kroki PNG API directly bakes text into the image correctly
  • PNG format works perfectly on Telegram, mobile, and desktop
import urllib.request
import base64
import zlib

def generate_diagram_image(mermaid_code: str, output_path: str = "diagram.png"):
    """Generate PNG image from Mermaid code using Kroki API (text intact!)"""
    
    # Encode: zlib compress + base64 URL-safe encode
    compressed = zlib.compress(mermaid_code.encode('utf-8'))
    encoded = base64.urlsafe_b64encode(compressed).decode('ascii')
    
    # Use PNG format - text renders correctly, no font dependencies
    url = f"https://kroki.io/mermaid/png/{encoded}"
    
    req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'})
    with urllib.request.urlopen(req, timeout=30) as response:
        with open(output_path, 'wb') as f:
            f.write(response.read())
    
    return output_path

Mermaid Templates / Mermaid 模板

1. AI/LLM Architecture (default)

graph TD
    A[用户输入] --> B[Tokenizer 编码]
    B --> C[Embedding 层]
    C --> D[Transformer Layer × N]
    D --> E[LM Head 输出]
    E --> F[生成回答]
    
    subgraph 模型核心
    C
    D
    E
    end
    
    subgraph 推理引擎
    B
    F
    end

2. Cloud Architecture

graph TD
    User[用户] --> CDN[CDN加速]
    CDN --> LB[负载均衡]
    LB --> Web[Web服务集群]
    Web --> API[API网关]
    API --> Auth[认证服务]
    API --> DB[(数据库)]
    API --> Cache[Redis缓存]
    DB --> Backup[备份存储]

3. Neural Network

graph TD
    Input[输入层] --> H1[隐藏层1]
    H1 --> H2[隐藏层2]
    H2 --> H3[隐藏层3]
    H3 --> Output[输出层]
    
    subgraph 层 / Layers
    Input
    H1
    H2
    H3
    Output
    end

4. Network Topology

graph LR
    Internet[互联网] --> FW[防火墙]
    FW --> Router[主路由]
    Router --> AP[无线AP]
    Router --> Switch[交换机]
    Switch --> PC[PC设备]
    Switch --> Server[服务器]
    Router --> IoT[智能设备]

5. Flowchart

graph TD
    Start[开始] --> Step1[步骤1]
    Step1 --> Step2[步骤2]
    Step2 --> Judge{判断?}
    Judge -->|是| Step3[执行3]
    Judge -->|否| Step4[执行4]
    Step3 & Step4 --> End[结束]

6. Graph Theory 7×7

graph TD
    A[7×7输入矩阵] --> B[邻接矩阵/邻接表]
    B --> C[图结构构建]
    C --> D[BFS/DFS遍历]
    C --> E[Dijkstra最短路径]
    C --> F[Prim最小生成树]
    D & E & F --> G[图特征输出]
    G --> H[神经网络融合]

7. Docker/K8s Architecture

graph TD
    User[用户] --> CI[CI/CD流水线]
    CI --> Registry[镜像仓库]
    Registry --> K8s[K8s集群]
    K8s --> Svc1[Service A]
    K8s --> Svc2[Service B]
    K8s --> DB[(数据库)]
    Svc1 --> DB
    Svc2 --> DB

Output Format / 输出格式

When user requests image, generate:

🤖 **架构图:{标题}**
━━━━━━━━━━━━━━━━━━━━

![Architecture Diagram](https://kroki.io/mermaid/png/{encoded})

📊 **Mermaid 代码:**
```mermaid
{mermaid_code}

🔗 在线编辑


**For Telegram/mobile:** Always use PNG format directly - text is baked in and displays correctly everywhere.

## Smart Detection / 智能识别

```python
def detect_type(input_text):
    text = input_text.lower()
    
    if any(k in text for k in ["大模型", "llm", "神经网络", "neural", "transformer", "ai"]):
        return "ai_llm"
    elif any(k in text for k in ["图论", "7x7", "矩阵", "graph", "matrix"]):
        return "graph_theory"
    elif any(k in text for k in ["云", "aws", "cloud", "azure", "阿里云"]):
        return "cloud"
    elif any(k in text for k in ["网络", "router", "network", "openwrt", "拓扑"]):
        return "network"
    elif any(k in text for k in ["流程", "flow", "flowchart", "工作流"]):
        return "flowchart"
    elif any(k in text for k in ["er", "database", "数据库", "er图"]):
        return "er"
    elif any(k in text for k in ["docker", "k8s", "container", "容器"]):
        return "docker"
    else:
        return "general"

Color Themes / 配色主题

%%{init: {'theme':'base'}}%%
%%{init: {'theme':'dark'}}%%
%%{init: {'theme':'neutral'}}%%

Add theme in SKILL.md body for custom styling.

Notes / 注意事项

  • Always use PNG format - SVG to image conversion loses text, use Kroki PNG API directly
  • Kroki API (https://kroki.io) is 100% free, no registration required
  • Online editor (https://mermaid.live) allows visual customization
  • PNG works everywhere - Telegram, mobile, desktop - text renders correctly
Usage Guidance
This skill appears to do what it says: produce Mermaid code and (optionally) fetch PNGs from Kroki. It requests no credentials and has no installer. Before using, consider privacy: the Mermaid text you submit is sent to kroki.io (and encoded in mermaid.live URLs), so do not send diagrams containing secrets or sensitive network/architecture details. If you need offline or private rendering, run a local Kroki instance or use an internal renderer instead.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
Name/description match implementation: templates, detection logic, and a Python script that encodes Mermaid and fetches rendered images from kroki.io. No unrelated binaries, env vars, or credentials are requested.
Instruction Scope
SKILL.md and scripts limit actions to producing Mermaid code and calling Kroki (https://kroki.io) to fetch images. This is coherent with the stated purpose, but the agent will perform outbound HTTP requests to Kroki and publish encoded diagram text in URLs (e.g., mermaid.live link).
Install Mechanism
Instruction-only with an included Python script that uses only standard libraries (urllib, zlib, base64). There is no install spec, no third-party downloads, and no archive extraction.
Credentials
No environment variables or credentials are requested (proportionate). However, generating images sends diagram content to a third-party service (kroki.io/mermaid.live); users should avoid sending diagrams that contain sensitive or confidential architecture details.
Persistence & Privilege
always:false (default) and no indication the skill writes or modifies other skills or system-wide agent settings. It writes only the requested output files and optional mermaid code file.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install architecture-diagram
  3. After installation, invoke the skill by name or use /architecture-diagram
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
Fixed: Use PNG instead of SVG to preserve text in boxes. SVG to image conversion loses text, now using Kroki PNG API directly for correct rendering on Telegram and mobile.
v1.0.1
Fixed SVG generation, improved Mermaid templates, added Docker/K8s template
v1.0.0
Initial release: Generate architecture diagrams in Mermaid from text descriptions. - Supports multiple types: system/cloud architecture, neural networks, graph theory, flowcharts, ER diagrams, and Docker/K8s diagrams. - Detects diagram type based on keywords and provides code templates. - Auto-generates Mermaid Live links for easy online rendering. - Quick command guide and sample templates included. - Multilingual support: Chinese and English instructions.
Metadata
Slug architecture-diagram
Version 2.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 3
Frequently Asked Questions

What is Architecture Diagram?

AI architecture diagram generator supporting Mermaid charts. Generate system architecture, cloud architecture, neural network, graph theory, flowchart, ER di... It is an AI Agent Skill for Claude Code / OpenClaw, with 152 downloads so far.

How do I install Architecture Diagram?

Run "/install architecture-diagram" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Architecture Diagram free?

Yes, Architecture Diagram is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Architecture Diagram support?

Architecture Diagram is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Architecture Diagram?

It is built and maintained by SMS (@smseow001); the current version is v2.0.0.

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