Overview
Text-to-CAD is an open-source collection of agent skills that give AI coding agents the ability to design physical hardware. Built by Jake (earthtojake), the skills bridge natural-language prompts with parametric CAD kernels and robotics model formats, so an agent can produce manufacturable geometry and validated robot descriptions end to end.
Key Features
- Generates CAD geometry in formats such as STEP, STL, 3MF, DXF, and GLB using the build123d and OpenCascade kernels
- Produces robotics description files including URDF, SDF, SRDF for mechanical assemblies and robot models
- Structured as composable agent skills that plug into existing AI coding workflows
- Targets mechanical engineering, robotics, and hardware design use cases from a single prompt
Use Cases
- Turning a text spec into a parametric, manufacturable mechanical part
- Generating robot and assembly models with valid URDF/SDF descriptions
- Prototyping hardware designs inside an AI-assisted development loop
Technical Details
- Built on the build123d parametric CAD library and OpenCascade geometry kernel
- Outputs span manufacturing formats (STEP/STL/3MF/DXF) and web formats (GLB) alongside robotics formats (URDF/SDF/SRDF)
- Distributed as agent skills, matching the SKILL.md capability module pattern used by modern AI coding agents