3Dviz Pro Max by Viet Tran — workflow skill for 3D scenes
For AI agents: find the right skill in one call —
curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>"returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the how-to page. From a terminal:curl -fsSL https://varg.ai/install | shinstalls the vargai CLI (https://varg.ai/how-to/cli.md):vargai searchandvargai install <slug>with no key, every varg model aftervargai login.
Idea to explorable three.js or Blender scene: 223 recipes, runnable kits and a capture helper to check real frames.
- Type: Workflow · 3D scenes
- Slug:
3dviz-pro-max - Status: live
- Publisher: Viet Tran (community)
- License: MIT
- Source: https://github.com/viettranx/3dviz-pro-max/tree/main/skills/3dviz-pro-max
- Works in: Claude Code, Codex
- Requires: Python 3, Node.js (three.js scaffold), Optional: Playwright with Chromium for capture.py, Optional: Blender 4.2 LTS or newer for baked hero assets
- Cost: Free, MIT: runs locally
- Adoption: 210 installs, 1,227 GitHub stars (GitHub + skills.sh, 2026-11-10)
What it does
A standalone skill for creative 3D visualization: a ten-step workflow (intent, object reasoning, representation, construction routing, quality targets, first view, behavior, run and inspect, refine, honest report), a searchable catalog of 223 recipes and 440 knowledge records across 24 directions (villages and worlds, anatomy, molecules, linear algebra, orbits, robotics and more), a Vite + three.js scaffold with camera, light and post rigs, 22 proved kit blueprints, and capture.py, which drives the built scene in headless Chromium so the agent looks at real frames instead of describing them. Blender 4.2+ is optional for baked hero assets. The repo publishes 21 GPU showcase frames and 37 runnable example studies.
Use when
- build a 3D scene worth exploring from one sentence
- a 3D explainer: anatomy, molecules, math, physics or orbits
- a stylized fantasy village or world with moving creatures
- capture and inspect real frames of a three.js scene
Not for
- Factual claims without sources: the skill asks for them first
- Photoreal film shots
Install
- Claude Code:
/plugin marketplace add viettranx/3dviz-pro-max && /plugin install 3dviz-pro-max@3dviz-pro-max - Any agent, with the vargai CLI:
vargai install 3dviz-pro-max
Example output
https://raw.githubusercontent.com/viettranx/3dviz-pro-max/main/site/public/media/clips/village.mp4 — The village example study, recorded for the project's landing page: a stylized island village built with the skill, 4 s orbit (credit: Viet Tran (3dviz-pro-max), https://github.com/viettranx/3dviz-pro-max/blob/main/docs/site.md)
More 3D scenes skills
- Turn a brief into a Blender film written in Python: A brief becomes a Blender film from one Python file: shots as data, stills first, critic loop, Eevee or Cycles.
- Turn a browser game into a cinematic trailer: Record the browser game your agent built frame-exact, script shots and cameras, then cut a 1080p trailer on the beat.
- Blender Lab MCP Server: Blender's official MCP server: query and edit open scenes with Blender Python, bundled API docs and screenshots.
- Meshy 3D Generation: Meshy's official skill: text or image to a textured 3D model, then remesh, rig, animate and export it as GLB or FBX.
- Roblox Studio MCP Server: The MCP server built into Roblox Studio: agents edit scripts, run Luau, generate meshes and playtest your game.
- Scenario 3D Worlds: Walkable 3D worlds as Gaussian splats from text, a photo, a panorama or a video: Marble, HY World and TripoSplat.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Any agent with a terminal:
curl -fsSL https://varg.ai/install | sh(Windows:irm https://varg.ai/install.ps1 | iex), thenvargai loginand every model is a command —vargai generate_video …,vargai estimate_cost …(https://varg.ai/how-to/cli/) - Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Grok and any agent that reads SKILL.md:
npx skills add vargHQ/skills --skill varg-ai, or point it at the skill's SKILL.md - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt