Generate High‑Quality Architecture Diagrams with One AI Skill

The author shows how to use Claude together with the open‑source “architecture‑diagram‑generator” skill to turn natural‑language system descriptions into self‑contained HTML diagrams, detailing installation, three‑step workflow, and the visual advantages such as dark theme, semantic colors, export options, and zero‑dependency output.

AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Generate High‑Quality Architecture Diagrams with One AI Skill

Problem: Understanding a multi‑agent collaboration platform

A new project contains dozens of modules, containers, micro‑services, message protocols and an AI gateway. After cloning a 10‑plus‑thousand‑line codebase, the directory layout, startup order, authentication service and external system interactions were unclear. Using Claude to analyse the code produced a lengthy textual description of components, startup sequence and message flow, but the generated ASCII diagram was difficult to read.

用户 → nginx → Bridge → Matrix/MinIO
        ↓
        Manager Agent

Solution: architecture‑diagram‑generator skill

GitHub repository: https://github.com/Cocoon-AI/architecture-diagram-generator

The skill accepts a natural‑language system description and returns a self‑contained HTML file. The file contains a dark‑theme SVG vector diagram with interactive export options.

Installation

Send the following prompt to Claude Code:

请帮我安装下面这个skill,https://github.com/Cocoon-AI/architecture-diagram-generator

After installation, asking Claude “帮我画这个项目的架构图” (including the previously discussed context) generates the diagram automatically.

Key characteristics

Dark theme – programmer‑friendly aesthetic suitable for technical documentation.

Semantic colour scheme – design system distinguishes component types without a legend.

One‑click export – a “⋯” button in the top‑right corner copies a high‑resolution PNG to the clipboard, downloads PNG, or downloads PDF.

Single‑file, zero‑dependency – the output is a single .html file with no external CSS or images.

Arrow layering – opaque component backgrounds hide arrows cleanly, avoiding visual artifacts.

Usage workflow (three steps)

Step 1: Obtain an architecture description (3 ways)
    A. Let an AI analyse the codebase and produce a description.
       Prompt example: "Analyze this codebase and describe the architecture. Include all major components, how they connect, technologies used, cloud services or integrations. Format as a list for an architecture diagram."
    B. Write the description manually (list components and connections).
    C. Ask Claude for a typical architecture description.

Step 2: Ask Claude to generate the diagram
    "Use your architecture diagram skill to create an architecture diagram from this description: [your description]"

Step 3: Iterate
    "请把 Redis 换成 Kafka"
    "在 API 层加一个 Rate Limiter"
    "把数据库拆成主从两个节点"

No coordinates, colours or layout need to be specified; the template derives visual styling from the business description.

Effective results require Claude to already understand the project's modules, dependencies and data flow—e.g., via a detailed CLAUDE.md or prior conversations.

The author spent roughly half an hour clarifying modules, dependencies and data flow with Claude before generating the diagram; the resulting output required little or no modification.

Outcome

The generated architecture diagram provides a clear, instantly viewable view of the system, accelerating onboarding to unfamiliar projects.

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AIDevOpsGitHubClaudeArchitecture DiagramCocoon-AI
AI Large-Model Wave and Transformation Guide
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AI Large-Model Wave and Transformation Guide

Focuses on the latest large-model trends, applications, technical architectures, and related information.

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