spatial-reasoning
spatial-reasoning is a Graphics, 3D & shaders skill for AI agents, published by isaac-sim in the IsaacSim repository on GitHub. Skillspace rates spatial-reasoning C (70/100) and it passed the safety scan; the rating is based on static analysis only.
3D spatial reasoning for USD scene composition. Coordinate math, metersPerUnit conversion, bounding-box analysis, placement transforms (T*R*S ordering), look-at, collision-free grid layouts, zone boundaries, quaternion rotation, spatial indexing (R-tree/grid), SAT/GJK, A* + smoothing, Dubins, 2D bin packing, frustum culling, coordinate system conversions (USD/Unity/Unreal), warehouse standards (OSHA/NFPA/RMI), ABC analysis, numerical stability.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 3,708
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
- 81 / 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. Spatial math against the public OpenUSD scene APIs
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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