--- title: "Teardown by Elvar — AI video generator workflow for 3D scenes" description: "One reference picture in, a 3D machine you can take apart out: three.js simulator, live gauges, 60 fps film. Install in Claude Code, Codex and Grok with one command." url: https://varg.ai/how-to/skills/elvar-teardown updated: 2026-11-01 --- # Teardown by Elvar — 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="` 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 `.md` to its path. Before generating anything, show the person the options on the how-to page. From a terminal: `curl -fsSL https://varg.ai/install | sh` installs the vargai CLI (https://varg.ai/how-to/cli.md): `vargai search` and `vargai install ` with no key, every varg model after `vargai login`. One reference picture in, a 3D machine you can take apart out: three.js simulator, live gauges, 60 fps film. - **Type:** [Workflow](https://varg.ai/how-to/workflows.md) · [3D scenes](https://varg.ai/how-to/browse/skills/3d-scenes.md) - **Slug:** `elvar-teardown` - **Status:** beta - **Publisher:** Elvar (community) - **License:** MIT - **Source:** https://github.com/elvarofficial/teardown - **Works in:** Claude Code - **Requires:** Node.js 20+, Playwright Chromium, ffmpeg (video), Python 3 (sound) - **Cost:** Free, MIT: renders locally; you pay only your Claude plan - **Runtime:** an evening per machine; the author built 7 in 2 days ## What it does A Claude Code skill that builds a real machine (an engine, a landing gear, a walking linkage, a robot) as one offline HTML page: the machine runs in the middle, every gauge and chart reads the same model that poses the parts, a button opens each subsystem, and when nobody touches it the page tours itself. The same code records the tour frame by frame to a 60 fps MP4 with a procedural score mastered to -14 LUFS. Its rules: start from one reference picture, write the model as math from real numbers first, drive everything from one input, review stills before any video. Ships 3 machines (a V8, a Cessna 337 landing gear, a Strandbeest). The launch post on X (Oct 30, 2026) drew 3,485 likes, 3,917 bookmarks and 255k views, and its how-to article 665k views; 302 GitHub stars in its first day. ## Use when - a visual explainer of how a machine or mechanism works - an exploded view, cutaway or teardown of an object - an interactive 3D lesson people can take apart in the browser - a 3D product or robot sim recorded to video ## Not for - Organic characters or faces: it is built for mechanisms with moving parts - Machines with no reference picture: invented ones come out generic, the author says ## Install - Claude Code: `npx skills add elvarofficial/teardown -g -a claude-code && cd ~/.claude/skills/teardown && npm install && npx playwright install chromium` - Any agent, with the vargai CLI: `vargai install elvar-teardown` **Models it drives:** claude_opus_5_5 ## Example output https://s3.varg.ai/files/4325c578-378d-4c43-ae53-3cc3218df1ea/file_7f71a044d428.mp4 — The Telson SC-8 robotic scorpion from the repo README: claws open, tail strikes, panels read the pose. The full 5.5 s loop, GIF re-encoded to MP4. (credit: Elvar (teardown README), https://github.com/elvarofficial/teardown#readme) ## More 3D scenes skills - [Three.js Skills](https://varg.ai/how-to/skills/threejs-skills.md): 13 Three.js skills: scenes, geometry, materials, lighting, GLSL and TSL shaders, animation, post-processing, R3F. - [Three.js Scene Composition](https://varg.ai/how-to/skills/calesthio-threejs-scene-composition.md): Plan, build and capture Three.js scenes for video: absolute-time frames, seeded motion, color-safe glTF, render QA. - [R3F Skills](https://varg.ai/how-to/skills/enzed-r3f-skills.md): 11 React Three Fiber skills checked against Fiber 9.7 and three r185: Canvas, demand loops, loaders, shaders, post. - [Procedural 3D Story](https://varg.ai/how-to/skills/karpathy-3d-story.md): Turn a myth or book into a seeded, multi-chapter procedural three.js film in one scene.html, audited frame by frame. - [Three.js Architecture Effects](https://varg.ai/how-to/skills/threejs-architecture-effects.md): Self-assembling 3D buildings in three.js: bricks, timber, eaves and PBR, driven by one seekable progress value. - [img2threejs by Nick (Hoài Nhớ)](https://varg.ai/how-to/skills/img2threejs.md): Rebuilds the object in one reference image as a code-only, animation-ready Three.js model, gated pass by pass. ## 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`), then `vargai login` and 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 -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