model-real-things-3d
Builds a lifelike 3D model (GLB/glTF) of a real physical object (a PC case, a router, a UPS, furniture) at its true size, and changes it later on request.
Skill by RascalTwo
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/rascaltwo-model-real-things-3d
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/model-real-things-3d
What's inside
- Skill name
model-real-things-3d- Description
- Builds a lifelike 3D model (GLB/glTF) of a real physical object (a PC case, a router, a UPS, furniture) at its true size, and changes it later on request. Use for "make a 3D model of my X", "model this device", "lifelike/photoreal model", "fix the model", or any job that needs Blender driven from an agent.
- License
- MIT
- Instructions
- 21 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- SKILL.md
- render.py · scripts/
- score.py · scripts/
- setup.md
SKILL.md (first lines)
# Model real things in 3D A model here is a **script, not a mesh**: one re-runnable build script makes the GLB, so every later fix is a change request against the script. That is what won the 2026-10-16 bakeoff (NAS case): code-built models took change requests in ~8 minutes, while an AI-generated mesh couldn't take them at all. **Tool:** Blender through the **official Blender Lab MCP** (the winner). **Fallback:** build123d + trimesh, headless, when no Blender window can be open (CI, remote, overnight). Setup and gotchas for both: [`setup.md`](setup.md). ## Steps 1. **Pin the facts.** The real size in mm (width × height × depth) from a spec sheet or a dimension diagram, with its source. Reference photos: product photos for shape, and **the owner's own photos win** wherever they disagree. Ask the owner what photos can't show: which way it faces, where the buttons and ports really are, what's removable. *Done when* the size has a source and you've asked about what's hidden. 2. **Write the build script** (`build.py`) that builds the whole object and exports `<name>.glb`, run inside Blender through the MCP's code tool. glTF conventions: Y up, metres, front facing +Z, centred on the origin. Any part something will move (a side panel, a door, a lid) is its **own named node** with its origin at its own centre. Fine detail (mesh, grilles, perforation) is textures with alpha, not geometry. *Done when* the script runs from scratch to a GLB. 3. **Check it like the judge.** Render with the shared camera and lights, plus close-ups of whatever the owner cares about, and look at the PNGs: `/Applications/Blender.app/Contents/MacOS/Blender --background --factory-startup --python scripts/render.py -- <glb> <png>` Score it: `uv run scripts/score.py <glb> <w_mm> <h_mm> <d_mm> [required node ...]`. *Done when* `within_1pct` is true, `missing_nodes` is empty, it's under budget (default 50k triangles, 5 MB), and the renders match the photos. 4. **Hand it to the owner** with the render and the score, and ask what's wrong. Their eye is the real check: in the bakeoff every model passed the scorer and still had the buttons on the wrong side. 5. **Change requests edit the script**, then rerun step 3. Keep each change's what and why in a `NOTES.md` beside the script. ## Picking a tool again Re-run a bakeoff only for a new kind of object or a new tool. Give every contender the same brief, photos, scorer and renderer, run each as a fresh `claude -p` session, record time, tokens and list-price cost from its JSON, and let the owner judge looks. Include a change-request round: it measures what matters long-term.
From RascalTwo/ai-setup, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 24, 2026 (4 days ago)
- Last release
- Oct 24, 2026 (4 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/RascalTwo/ai-setup
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
model-real-things-3d skill. Agent Mart. https://agentmart.dev/skills/rascaltwo-model-real-things-3d (last updated 2026-10-24)