Awesome Gaussian Skills

Bridge CAD, Mesh, and 3DGS representations via the SLAT unified encode-decode framework. Covers mesh↔3DGS conversion, surface extraction, CAD reverse engineering, B-rep/parametric reconstruction, NL-driven assembly, TetSphere physics bridge, PBR material generation. Analyzes 40+ methods. Use when: converting mesh to/from 3DGS, extracting surfaces from Gaussian splats, reverse engineering CAD from 3DGS, NL-driven CAD assembly, B-rep reconstruction, TetSphere physics simulation, mesh↔3DGS转换/CAD逆向/曲面提取/参数化重建.

Academic paper writing for 3D vision, computer graphics, CAD, and 3D understanding. Covers NeRF, 3DGS, SLAM, point cloud, 3D shape, CAD modeling. Supports CVPR/ICCV/ECCV/SIGGRAPH venues. Multi-agent adversarial review, citation integrity gates, style calibration. Use when: writing or revising a CG/3D vision paper, drafting abstract/intro/method/experiments, running adversarial review or citation integrity check, calibrating writing style to a venue, 写论文/写paper/论文写作/CG论文/三维视觉论文.

MCP protocol integration with 3DGS rendering pipeline: Agent-controlled Three.js/WebGPU rendering, voice-driven scene reconstruction, real-time parameter manipulation, light tracing backend. Use when: MCP rendering, agent-controlled 3DGS, voice-driven reconstruction, real-time 3DGS editing, Three.js 3DGS, WebGPU Gaussian splatting, interactive rendering control, speech-to-3D, light tracing, HiGS accelerated rendering.

Review 3DGS implementation code for correctness, performance bugs, and best practices. Covers CUDA kernels, rendering pipeline, training loop, loss functions. Detects 104 known bug patterns including compression, forensics, SLAM, feed-forward, and method-specific failure patterns. Use when: reviewing 3DGS/Gaussian Splatting CUDA code, debugging rendering artifacts, optimizing 3DGS training pipelines, checking loss function implementations, 代码审查/3DGS调试/性能优化.

Diagnose and fix 3DGS training-time failures: NaN losses, OOM crashes, divergent optimization, floater artifacts, densification failures, hyperparameter sensitivity. Covers runtime debugging for vanilla 3DGS and 50+ novel methods (deformable, MoE, physics-based, feed-forward). Detects 60 runtime failure patterns. Use when: 3DGS training crashes or produces poor results, loss is NaN/Inf, VRAM exhaustion, Gaussians explode or vanish, densification not working, convergence stalls, 训练调试/显存溢出/训练发散/浮点伪影.

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.

Design rigorous experiments for 3DGS research papers. Recommends datasets, baselines, metrics, ablation matrices. Targets CVPR/ICCV/ECCV/SIGGRAPH/TVCG. Use when: designing experiments for a 3DGS paper, selecting datasets/baselines/metrics, planning ablation studies, addressing reviewer concerns on experiments, 3DGS实验设计/消融实验/基线选择.

3DGS Articulated Object Reasoning & Digital Twin Agent. Reason about articulated objects in 3DGS scenes: extract part structure, infer kinematic constraints, generate interactive digital twins. Use when: articulated object, digital twin, part structure, kinematic chain, URDF, interactive 3DGS, part-aware rendering, articulated manipulation, joint estimation, part segmentation 3DGS, ArtiSplat, ArtiTwinSplat, articulated reconstruction.