3DGS compression-to-deployment pipeline: quantization (scalar/VQ/mixed-precision), pruning (coreset/adaptive/variational/merge/Bayesian), progressive streaming & LoD, Web/WebGPU/mobile deployment, hardware acceleration (Tensor Core/GEMM/FPGA/ASIC), training-free semantic compression. Covers 53+ methods across 6 compression categories. Use when: compressing 3DGS models, deploying 3DGS to web/mobile/edge, selecting quantization bit-width, designing streaming pipelines, 3DGS压缩/量化/剪枝/部署/流式传输/移动端/硬件加速.
$npx -y skills add jaccen/awesome-gaussian-skills --skill 3dgs-compression-deployInstalls into the current project.
Run `npx skills use "https://github.com/jaccen/awesome-gaussian-skills" --skill "jaccen/awesome-gaussian-skills/3dgs-compression-deploy"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jaccen/awesome-gaussian-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jaccen/awesome-gaussian-skills"` and select the relevant skills, then follow their instructions.