Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
CAD Agent
Send build123d CAD commands via HTTP to render images, allowing visual iteration on 3D models entirely within a containerized CAD environment.
skill openclawclawhub Free
Send build123d CAD commands via HTTP to render images, allowing visual iteration on 3D models entirely within a containerized CAD environment.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- clawd-maf
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 β receive rendered images β 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: Send commands via HTTP View the returned images Decide what to do next YOU (agent) CAD AGENT CONTAINER βββββββββββββ βββββββββββββββββββ Send build123d code β Executes modeling β Returns JSON status Request render β VTK renders the model β 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 β you just command and observe.
1. Clone the Repository
git clone https://github.com/clawd-maf/cad-agent.git cd cad-agent
2. Build the Docker Image
docker build -t cad-agent:latest . Or using docker-compose: docker-compose build
3. Run the Server
# 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
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 workβcurl 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.
1. Create Model
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
# 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
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
curl -X POST http://localhost:8123/export \ -d '{"model_name": "my_part", "format": "stl"}' -o part.stl
Endpoints
EndpointWhat it doesPOST /model/createRun build123d code, create modelPOST /model/modifyModify existing modelGET /model/listList models in sessionGET /model/{name}/measureGet dimensionsPOST /render/3d3D shaded render (VTK)POST /render/2d2D technical drawingPOST /render/multiview4-view compositePOST /exportExport STL/STEP/3MFPOST /analyze/printabilityCheck if printable
build123d Cheatsheet
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 build123d docs VTK
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md