Discover prims on a runtime stage and inspect attribute schemas.
npx skills add https://github.com/NVIDIA-Omniverse/ovrtx --skill stage-queries
Please help me install this Agent Skill. Skill: stage-queries Source: https://github.com/NVIDIA-Omniverse/ovrtx/tree/main/.agents/skills/stage-queries Command: npx skills add https://github.com/NVIDIA-Omniverse/ovrtx --skill stage-queries
Discovering prims on the runtime stage and inspecting their attribute schemas to understand structure and readiness for read/write operations.
Run a stage query to list prims or filter by type and attributes before performing read/write operations.
High-intent search queries and answers about installing and using this skill.
To query USD stage prims, you can apply filters by prim type or attribute presence to discover specific elements on the runtime stage. This returns grouped result handles for subsequent read or write operations.
Inspecting USD attribute schemas reveals the data types and semantics of prim attributes. This determines the structure and readiness of prims for read or write operations before you execute them.
Yes, querying stage prims and inspecting attribute schemas supports both Python and C/C++ usage. This allows you to integrate prim discovery into various automation workflows across different environments.
The best way to list all prims is to run a stage query that returns grouped results with prim_list_handles. These handles can then be directly fed into read_attribute or write_attribute calls.
You need to inspect attribute schemas to understand the data types and structure of prims on the stage. This ensures the prims are ready and correctly formatted for your read or write operations.
Yes, querying prims by attribute existence supports filtering for specific automation tasks. You can discover prims based on the presence of attributes to prepare result handles for targeted operations.
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