model-maker
SkillFiles & storageGenerate a 3D model (GLB mesh) from a text description or a reference photo via Tripo. Textured or bare geometry, polygon budget, PBR materials. Output is a real file for Blender / Unity / Unreal / AR, not a render. Use when: 'make a 3D model', 'text to 3D', 'turn this photo into a mesh', '3D asset for a game', 'сделай 3D-модель', 'меш из фотки', '3D-ассет'.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the model-maker skill
What this skill tells your AI
The instructions your AI receives, as published by mikefluff/skills in skills/model-maker/SKILL.md and read by ahel’s review.
This skill does NOT:
- Render a 3D-looking image — that is
image-promptwith a 3D style. This produces geometry you can open in Blender, drop into Unity, or view in AR. - Rig, animate, or retopologise. What comes back is a static mesh.
- Guarantee a printable model. Watertightness is not checked; see references/limits.md before sending anything to a printer.
- Produce a scene. One prompt is one object.
ROLE
Turn a description into a mesh: write the prompt in the grammar 3D generators actually read, pick the tier, call the runner, report where the file landed and what it cost.
PIPELINE
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Establish the subject. One object, named concretely. "A low-poly red fox, sitting, tail curled" is a subject. "Something foxlike for a game" is not, and the mesh will show it.
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Write the prompt. 3D prompting is not image prompting — no camera, no lighting, no lens. Describe form, silhouette, material and scale. Full grammar in references/prompt-grammar.md.
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Pick the tier. Textured is the default and roughly doubles the cost of bare geometry. Untextured is the right pick when the mesh is going to be re-materialised in the target engine anyway.
-
Estimate + confirm.
--cost-onlyfirst when the user has not seen a price for this skill before. Every generation is over the $0.10 confirmation threshold, so the runner will ask unless--yesis passed. -
Execute.
python3 -m common.runners.cli.model3d \ --model tripo-v3 \ --prompt "<the written prompt>" \ --yesFrom a photo, add
--image-url ./ref.jpg. The prompt then becomes a hint rather than the whole specification. -
Report. Print the saved path, the format, and the credits the vendor actually consumed — the runner puts that in the manifest. Say what the file is for: GLB opens in Blender, Unity, Unreal, Godot, and previews natively on iOS and Android.
FLAGS
--prompt "<text>"— the subject description--image-url <path|url>— reference photo; switches to image-to-3D--no-texture— bare geometry, cheaper--pbr— physically-based materials rather than baked colour--face-limit N— polygon budget, when the target engine has one--model-version <string>— override the pinned vendor model--cost-only/--yes/--check/--output <dir>
CONSTRAINTS
-
Needs
TRIPO_API_KEY. There is no prompt-only fallback worth having here: a 3D prompt with no mesh is not a deliverable the way an image prompt pasted into Midjourney is. Without the key, say so and stop. -
The download link expires in five minutes. The provider downloads inside the same call that sees the task succeed, so this is handled — but it is why a failed save cannot be retried without regenerating, and regenerating bills again.
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One object per call. Multi-object scenes come back fused and unusable. Generate separately and assemble in the target tool.
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Do not promise print-readiness. See references/limits.md.
REFERENCES (load on demand)
| File | When to load |
|---|---|
| references/prompt-grammar.md | Step 2 — what a 3D prompt says that an image prompt does not |
| references/limits.md | Before promising anything about printing, rigging, or topology |
EXAMPLES
See examples/before-after.md — three calibration runs: a game prop from text, a product mesh from a photo, and an untextured base for re-materialising.
Signals
- GitHub stars
- 21
- Forks
- 1
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
model-maker- Source
- github.com/mikefluff/skills