# architecture-diagrams-skill

> architecture-diagrams-skill — quangdangle-architecture-diagrams-skill. Use this tool when you need to create and visualize complex system designs, such as software and chip architectures, through interactive diagrams and schematics. It solves problems of design communication and collaboration by providing an offline HTML page for block diagrams, clock trees, and other technical illustrations. It accepts draw.io files as input and outputs interactive diagrams, making it ideal for use cases where visual design representation is crucial, such as in git version-controlled projects.

Canonical page: https://skillsregistry.net/skills/quangdangle-architecture-diagrams-skill  
JSON: https://api.skillsregistry.net/v1/skills/quangdangle-architecture-diagrams-skill

## Description

Diagrams for software and chip design as one interactive offline HTML page: block diagrams, clock trees, pin-level schematics, WaveDrom timing, register maps, pinouts. Opens and saves draw.io. Works with Claude, MCP agents or any AI chat.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/quangdangle/architecture-diagrams-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "quangdangle-architecture-diagrams-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quangdangle-architecture-diagrams-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quangdangle-architecture-diagrams-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt