cocoon-ai/architecture-diagram-generator

Generate beautiful dark-themed system architecture diagrams as standalone HTML/SVG files. Works as a Claude AI skill.

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Summary Information

Updated 13 minutes ago
Added to GitGenius on September 1st, 2026
Created on December 22nd, 2025
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 555
Total Stargazers: 7,166 (+1)
Total Subscribers: 19 (+0)

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90th percentile: 4.9 days
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Detailed Description

Architecture Diagram Generator is a Claude AI skill that creates professional system architecture diagrams as standalone HTML files from plain-text descriptions.

The tool solves the problem of quickly visualizing system architectures without requiring design skills or specialized software. It works by accepting a text description of your system components and their connections, then using Claude to generate a dark-themed diagram rendered as SVG within an HTML file. The output is a single self-contained file that opens in any browser, eliminating dependencies on external tools or design expertise.

The tool suits developers who need to document or communicate system architecture quickly and want to iterate on diagrams through conversation. It works well for web applications, serverless systems, microservices, and other architectures that can be described textually. The skill integrates directly into Claude.ai and requires only that Code Execution be enabled in settings. Since the output is a standalone HTML file, sharing and exporting are straightforward—the generated diagrams include built-in buttons to copy as PNG, download PNG files, or export as PDF, all without leaving the browser.

The project shows active maintenance with regular updates to the skill functionality and documentation. Development appears focused on expanding the range of architecture patterns the tool can handle and improving the visual output quality. The maintainers have invested in comprehensive examples covering common scenarios like web applications, AWS serverless systems, and Kubernetes microservices, suggesting attention to real-world use cases.