spatial-computing
spatial-computing is a Graphics, 3D & shaders skill for AI agents, published by HorizonRobotics in the EmbodiedGen repository on GitHub. Skillspace rates spatial-computing B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Visualizes floorplans from URDF scene files and inserts/removes 3D assets with collision-aware placement on surfaces. Supports semantic instance matching via LLM (e.g., "put lamp on bookshelf", "delete sofa in living room"). Use when working with URDF/USD indoor scenes, floorplan visualization, object placement/deletion, or room-level scene editing.
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 529
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Uses EmbodiedGen's public toolkit for URDF/USD scene editing
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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