usd-composition-architecture

usd-composition-architecture is a Graphics, 3D & shaders skill for AI agents, published by isaac-sim in the IsaacSim repository on GitHub. Skillspace rates usd-composition-architecture D (55/100) and it passed the safety scan; the rating is based on static analysis only.

NVIDIA's USD asset composition pattern for Isaac Sim — how robot assets are split into a binary geometry crate plus a set of human-editable USDA layers (base, instances, materials, physics, physx, mujoco, robot, interface) connected via composition arcs (payload, reference, sublayer, variant). Covers the "binary for meshes, USDA for everything else" rule, headless RL optimization by skipping appearance, and the Asset Transformer pipeline that produces this layout. Use when: building new robot or environment assets for Isaac Sim, restructuring an existing asset with the Asset Transformer, optimizing RL training startup time and VRAM by skipping appearance payloads, debugging why physics edits in a USDA do not apply, debugging joint limits or mass properties, creating asset variants with different configs or materials. Triggers on: USD payload composition, layered USD, physics payload, appearance payload, USDA vs USD, USDA vs USDC, geometries.usdc, RL optimization payload, composition…

Grade
D
Quality
55 / 100
Safety
Passed
GitHub stars
3,708

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubisaac-sim/IsaacSim

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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