Agentcad Skill Release 0.4.0

This Skill addresses the lack of capability in 3D design for AI agents. In practical development, AI assistants are typically limited to generating text or code and cannot directly create manufacturable 3D models. Agentcad enables AI to output industry-standard formats such as STEP, STL, and GLB by writing build123d or CadQuery Python scripts, while also generating preview images, dimensional measurements, and geometric metrics. It essentially equips AI with a digital caliper and a modeling engine, transforming abstract descriptions into concrete, actionable designs.

Usage is straightforward: you simply describe your requirements in natural language, and the AI automatically generates the Python script, which is then executed via the agentcad run command. The key workflow includes: first, a dry-run to check volume and dimensions, followed by a formal execution to generate previews and an interactive 3D viewer. It supports iterative modifications with diff comparisons to track changes between versions. You can also use measure to inspect features like hole diameters and edge lengths, and check-spec to validate against specification requirements. The entire process requires no manual modeling, as it is autonomously completed by the AI agent.

It is particularly well-suited for agent developers, mechanical designers, and product managers who need to rapidly generate 3D prototypes. This includes anyone looking to translate AI-generated ideas into physical models, such as 3D printing enthusiasts, robotics engineers, and hardware prototype designers. It is also applicable to scenarios requiring automated CAD model generation, like parametric design, batch part creation, and educational demonstrations. Any user wishing to drive 3D modeling through natural language will benefit from it.

It is recommended to use this tool consistently when 3D geometry generation is needed. Note that it requires a Python 3.10-3.12 environment and the agentcad library must be pre-installed (pip install agentcad). The script must call show_object(result) to output results. Preview images are composite four-view layouts (front, right, top, isometric), and the interactive viewer requires a browser to open. For complex assemblies, it is advised to generate components separately and then combine them to avoid performance bottlenecks.