Best use case
cad-agent is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Teams using cad-agent should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cad-agent/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cad-agent Compares
| Feature / Agent | cad-agent | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
This skill provides specific capabilities for your AI agent. See the About section for full details.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# CAD Agent
> Give your AI agent eyes for CAD work.
## Description
CAD Agent is a rendering server that lets AI agents see what they're building. Send modeling commands → receive rendered images → iterate visually.
**Use when:** designing 3D-printable parts, parametric CAD, mechanical design, build123d modeling
## Architecture
**Critical:** All CAD logic runs inside the container. You (the agent) only:
1. Send commands via HTTP
2. View the returned images
3. Decide what to do next
```
YOU (agent) CAD AGENT CONTAINER
───────────── ───────────────────
Send build123d code → Executes modeling
← Returns JSON status
Request render → VTK renders the model
← Returns PNG image
*Look at the image*
Decide: iterate or done
```
**Never** do STL manipulation, mesh processing, or rendering outside the container. The container handles everything — you just command and observe.
## Setup
### 1. Clone the Repository
```bash
git clone https://github.com/clawd-maf/cad-agent.git
cd cad-agent
```
### 2. Build the Docker Image
```bash
docker build -t cad-agent:latest .
```
Or using docker-compose:
```bash
docker-compose build
```
### 3. Run the Server
```bash
# Using docker-compose (recommended)
docker-compose up -d
# Or using docker directly
docker run -d --name cad-agent -p 8123:8123 cad-agent:latest serve
```
### 4. Verify Installation
```bash
curl http://localhost:8123/health
# Should return: {"status": "healthy", ...}
```
> **Docker-in-Docker caveat:** In nested container environments (e.g., Clawdbot sandbox), host networking may not work—`curl localhost:8123` will fail even though the server binds to `0.0.0.0:8123`. Use `docker exec cad-agent python3 -c "..."` commands instead. On a normal Docker host, localhost access works fine.
## Workflow
### 1. Create Model
```bash
curl -X POST http://localhost:8123/model/create \
-H "Content-Type: application/json" \
-d '{
"name": "my_part",
"code": "from build123d import *\nresult = Box(60, 40, 30)"
}'
```
### 2. Render & View
```bash
# Get multi-view (front/right/top/iso)
curl -X POST http://localhost:8123/render/multiview \
-d '{"model_name": "my_part"}' -o views.png
# Or 3D isometric
curl -X POST http://localhost:8123/render/3d \
-d '{"model_name": "my_part", "view": "isometric"}' -o iso.png
```
**Look at the image.** Does it look right? If not, modify and re-render.
### 3. Iterate
```bash
curl -X POST http://localhost:8123/model/modify \
-d '{
"name": "my_part",
"code": "result = result - Cylinder(5, 50).locate(Pos(20, 10, 0))"
}'
# Re-render to check
curl -X POST http://localhost:8123/render/3d \
-d '{"model_name": "my_part"}' -o updated.png
```
### 4. Export
```bash
curl -X POST http://localhost:8123/export \
-d '{"model_name": "my_part", "format": "stl"}' -o part.stl
```
## Endpoints
| Endpoint | What it does |
|----------|--------------|
| `POST /model/create` | Run build123d code, create model |
| `POST /model/modify` | Modify existing model |
| `GET /model/list` | List models in session |
| `GET /model/{name}/measure` | Get dimensions |
| `POST /render/3d` | 3D shaded render (VTK) |
| `POST /render/2d` | 2D technical drawing |
| `POST /render/multiview` | 4-view composite |
| `POST /export` | Export STL/STEP/3MF |
| `POST /analyze/printability` | Check if printable |
## build123d Cheatsheet
```python
from build123d import *
# Primitives
Box(width, depth, height)
Cylinder(radius, height)
Sphere(radius)
# Boolean
a + b # union
a - b # subtract
a & b # intersect
# Position
part.locate(Pos(x, y, z))
part.rotate(Axis.Z, 45)
# Edges
fillet(part.edges(), radius)
chamfer(part.edges(), length)
```
## Important
- **Don't bypass the container.** No matplotlib, no external STL libraries, no mesh hacking.
- **Renders are your eyes.** Always request a render after changes.
- **Iterate visually.** The whole point is you can see what you're building.
## Design File Safety
The project has safeguards against accidentally committing CAD outputs:
- `.gitignore` blocks *.stl, *.step, *.3mf, etc.
- Pre-commit hook rejects design files
- User's designs stay local, never versioned
## Links
- [Repository](https://github.com/clawd-maf/cad-agent)
- [build123d docs](https://build123d.readthedocs.io/)
- [VTK](https://vtk.org/)Related Skills
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