How do I install the Stl Cube Scaffold skill?

Run npx skillmds@latest add diegosouzapw/stl-cube-scaffold in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Stl Cube Scaffold free to use?

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Who published Stl Cube Scaffold?

diegosouzapw (@diegosouzapw) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Stl Cube Scaffold by diegosouzapw — Agent Skill

Name: Stl Cube Scaffold
Rating: 4.2 (5 reviews)
Author: diegosouzapw

Stl Cube Scaffold

Analyze an STL mesh (AABB + approximate OBB) and generate a single connected STL that includes an L×L×L cube scaffold (default 100mm) plus connectors, so the final solid's OBB is locked to the target cube size for packing/measurement checks.

diegosouzapw Updated Sep 8, 2026 54 repo stars

File contents

STL Cube Scaffold (AABB/OBB, default 100mm)

Goals

Compute an STL's AABB and an approximate OBB (random rotation sampling search)
Generate a single-piece STL: original model + L×L×L cube frame/pillars + connectors (default L=100mm)

Prerequisites

Python 3.8+ with: numpy, scipy, manifold3d

Workflow

1) Analyze the input STL (optional)

python scripts/stl_cube_support.py <in.stl> --analyze
python scripts/stl_cube_support.py <in.stl> --analyze --target <edge_mm>

If the script reports that the model cannot fit into the target cube (given the current search result), stop and confirm next steps with the user (e.g. increase <edge_mm>, or increase --samples/--search-points and retry the search).

2) Export a cube-scaffolded STL (recommended: `frame`, default L=100mm)

python scripts/stl_cube_support.py <in.stl> \
  --export-stl <out.stl> \
  --scaffold frame \
  --target <edge_mm>

If you omit --target, it defaults to 100 (mm).
Check the output:
- AABB dim: <edge_mm> x <edge_mm> x <edge_mm> mm
- Connected components: 1

3) Tuning options

Option	When to use
`--connector-penetration`, `--connector-count`, `--connector-thickness`	Multiple shells (`Connected components > 1`)
`--samples`, `--search-points`	Search didn't find a good orientation (can't fit into cube)
`--objective max`	Alternative optimization objective
`--scaffold frame`	Lock OBB to cube size (default, recommended)

How It Works

AABB vs OBB: An AABB (axis-aligned bounding box) depends on the model's orientation. An OBB (oriented bounding box, minimum-volume sense) is invariant under global rotation/translation.
Why add an L×L×L cube frame/pillars: By unioning an explicit L×L×L frame with the model, the final solid's minimum-volume OBB is forced to L×L×L.
Why connectors must intersect the model: If the scaffold is disconnected from the original mesh, slicers and mesh tools will treat it as multiple shells/parts. Connectors must have a volumetric intersection (not just touching) with the model to ensure the boolean union becomes a single connected solid.

---name: stl-cube-scaffolddescription: Analyze an STL mesh (AABB + approximate OBB) and generate a single connected STL that includes an L×L×L cube scaffold (default 100mm) plus connectors, so the final solid's OBB is locked to the target cube size for packing/measurement checks.---# STL Cube Scaffold (AABB/OBB, default 100mm)## Goals- Compute an STL's AABB and an approximate OBB (random rotation sampling search)- Generate a single-piece STL: original model + L×L×L cube frame/pillars + connectors (default L=100mm)## PrerequisitesPython 3.8+ with: `numpy`, `scipy`, `manifold3d`## Workflow### 1) Analyze the input STL (optional)```bashpython scripts/stl_cube_support.py <in.stl> --analyzepython scripts/stl_cube_support.py <in.stl> --analyze --target <edge_mm>```If the script reports that the model cannot fit into the target cube (given the current search result), stop and confirm next steps with the user (e.g. increase `<edge_mm>`, or increase `--samples/--search-points` and retry the search).### 2) Export a cube-scaffolded STL (recommended: `frame`, default L=100mm)```bashpython scripts/stl_cube_support.py <in.stl> \ --export-stl <out.stl> \ --scaffold frame \ --target <edge_mm>```- If you omit `--target`, it defaults to `100` (mm).- Check the output: - `AABB dim: <edge_mm> x <edge_mm> x <edge_mm> mm` - `Connected components: 1`### 3) Tuning options| Option | When to use ||--------|-------------|| `--connector-penetration`, `--connector-count`, `--connector-thickness` | Multiple shells (`Connected components > 1`) || `--samples`, `--search-points` | Search didn't find a good orientation (can't fit into cube) || `--objective max` | Alternative optimization objective || `--scaffold frame` | Lock OBB to cube size (default, recommended) |## How It Works- **AABB vs OBB**: An AABB (axis-aligned bounding box) depends on the model's orientation. An OBB (oriented bounding box, minimum-volume sense) is invariant under global rotation/translation.- **Why add an L×L×L cube frame/pillars**: By unioning an explicit L×L×L frame with the model, the final solid's minimum-volume OBB is forced to L×L×L.- **Why connectors must intersect the model**: If the scaffold is disconnected from the original mesh, slicers and mesh tools will treat it as multiple shells/parts. Connectors must have a volumetric intersection (not just touching) with the model to ensure the boolean union becomes a single connected solid.

Frequently asked questions