Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Render Stl Png
Render an STL file to a PNG image with a solid color using a deterministic software renderer and adjustable 3D perspective parameters.
skill openclawclawhub Free
Render an STL file to a PNG image with a solid color using a deterministic software renderer and adjustable 3D perspective parameters.
β¬ 0 downloads β
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/render_stl_png.py, scripts/render_stl_png.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- ajmwagar
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
render-stl-png
Render an STL to a PNG from a nice, consistent 3D angle ("Blender-ish" default perspective) with a solid color. This is a deterministic software renderer: No OpenGL No Blender dependency Uses a simple camera + z-buffer + Lambert shading
Inputs
STL file path (ASCII or binary) Output PNG path
Parameters
--size <px>: image width/height (square), default 1024 --bg "#rrggbb": background color, default #0b0f14 --color "#rrggbb": mesh base color, default #4cc9f0 --azim-deg <deg>: camera azimuth around Z, default -35 --elev-deg <deg>: camera elevation, default 25 --fov-deg <deg>: perspective field of view, default 35 --margin <0..0.4>: framing margin as fraction of view, default 0.08 --light-dir "x,y,z": directional light vector, default -0.4,-0.3,1.0
One-shot
python3 scripts/render_stl_png.py \ --stl /path/to/model.stl \ --out /tmp/model.png \ --color "#ffb703" \ --bg "#0b0f14" \ --size 1200
Wrapper (recommended)
The wrapper creates a cached venv (so pillow is available) and runs the renderer. bash scripts/render_stl_png.sh /path/to/model.stl /tmp/model.png --color "#ffb703"
Notes
This is meant for marketing/preview images, not photorealism. If you need studio lighting / materials, use Blender β but this gets you 80% quickly and reproducibly.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs
- SKILL.md
- scripts/render_stl_png.py
- scripts/render_stl_png.sh