# lucad

> lucad — ngoctrong102-lucad. Use this tool when you need to create, validate, and export CAD designs efficiently, and want to leverage natural language inputs for agent-assisted engineering. It solves problems related to design complexity, validation, and exportation, providing a user-friendly interface for CAD design creation. Ideal for users who require precise control over their designs without relying on large language models at runtime.

Canonical page: https://skillsregistry.net/skills/ngoctrong102-lucad  
JSON: https://api.skillsregistry.net/v1/skills/ngoctrong102-lucad

## Description

Enables agent-assisted CAD engineering, allowing users to create, validate, and export CAD designs through natural language, with a deterministic engine that has zero LLM runtime dependency.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qrf24x8vus)
- **Repository:** <https://github.com/Ngoctrong102/lucad>

## 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": "ngoctrong102-lucad"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ngoctrong102-lucad` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ngoctrong102-lucad/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