Optimize Gaussian Splat scenes for real-time rendering on Apple devices.
npx skills add https://github.com/ckorhonen/claude-skills --skill gsplat-optimizer
Please help me install this Agent Skill. Skill: gsplat-optimizer Source: https://github.com/ckorhonen/claude-skills/tree/main/skills/gsplat-optimizer Command: npx skills add https://github.com/ckorhonen/claude-skills --skill gsplat-optimizer
Gaussian Splat workloads on Apple devices can be memory- and compute-intensive, and this skill provides automated guidance to prune gaussians, apply LOD, and compress data for real-time rendering.
Provide a .ply or .splat file and run the analyzer to generate pruning, LOD, and compression recommendations.
High-intent search queries and answers about installing and using this skill.
To optimize Gaussian Splat scenes for Apple devices, you provide a .ply or .splat file to generate automated stepwise pruning, level-of-detail (LOD) planning, and data compression recommendations targeting specific hardware constraints.
Yes, the Gaussian Splat optimizer fully supports both .ply and .splat file formats, analyzing your datasets to output pruning thresholds, LOD plans, and compression options tailored for iPhone, iPad, Mac, and Vision Pro.
The best way to reduce Gaussian Splat memory usage for iOS and visionOS is applying hardware-aware budgeting with stepwise pruning and data compression recommendations to meet specific device memory and FPS targets.
Yes, you can set specific FPS targets and memory budgets when pruning 3D Gaussian Splat data, allowing the optimizer to perform hardware-aware budgeting and output pruning thresholds based on your exact device constraints.
You plan level-of-detail (LOD) for large Gaussian Splat scenes by running the analyzer on your dataset, which evaluates file sizes and spherical harmonics (SH) degree to generate a structured LOD plan for interactive visualization.
Large .ply Gaussian Splat files lag during streaming on Mac and Vision Pro due to high memory and compute intensity, requiring automated stepwise pruning and compression guidance to achieve real-time rendering performance.
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