Automate 3D asset creation and printing workflows via the Meshy API.
npx skills add https://github.com/MarcMercury/Everloop.live --skill meshy-3d-agent
Please help me install this Agent Skill. Skill: meshy-3d-agent Source: https://github.com/MarcMercury/Everloop.live/tree/main/.agents/skills/meshy-3d-agent Command: npx skills add https://github.com/MarcMercury/Everloop.live --skill meshy-3d-agent
Generate and prepare 3D assets end-to-end using the Meshy AI API, handling API key detection, task creation, polling, downloading, and a complete 3D print pipeline with slicer integration for production-ready results.
Describe the required 3D asset in text or provide input images to begin the Meshy-driven generation, texturing, rigging, and printing workflow.
High-intent search queries and answers about installing and using this skill.
To automate text-to-3d and image-to-3d generation, you can use a workflow that handles API key detection, task creation, polling, and downloading to produce structured 3D project outputs.
The best way to prepare 3D models for printing is using an end-to-end pipeline that handles remeshing and integrates directly with slicers to format the asset for physical production.
Yes, you need Python 3 with the requests package to automate 3D asset creation and rigging workflows, and you must supply a MESHY_API_KEY via an environment variable or a local .env file.
Yes, you can retexture and auto-rig 3D models from multiple input images by submitting them to a multi-image-to-3d pipeline that handles preview, refine, and automated rigging stages.
Exporting rigged 3D models supports multiple formats and includes optional textures alongside PBR maps, allowing direct integration into game engines and character design workflows.
A 3D model generation pipeline fails during polling if the API key is missing, the environment is misconfigured, or the create-to-poll-to-download sequence encounters unhandled task errors.
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