Awesome-Gaussian-Skills

Review 3DGS implementation code for correctness, performance bugs, and best practices. Covers CUDA kernels, rendering pipeline, training loop, loss functions. Detects 105+ known bug patterns including MoE-GS and Bayesian complexity control 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.

Read and summarize 3DGS research papers. Extracts method architecture, innovations, experimental results from arXiv or local PDFs. Structured output with tables. Knowledge of 760+ methods across 25 categories. Use when: reading or analyzing a 3DGS/NeRF paper, extracting method details from arXiv PDF, summarizing 3D reconstruction research, 读论文/3DGS论文分析/文献总结.

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.

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.

Guide for deploying 3DGS from research to production: 10 industry verticals, engineering stack, GIS toolchain solutions, cross-platform deployment, and common pitfalls. References 760+ methods. Use when: deploying 3DGS to production or industry, selecting tools/pipeline/platform, troubleshooting engineering problems (OOM, artifacts, platform lock-in), integrating 3DGS with GIS/BIM/ROS2/game engines, 3DGS部署/高斯泼溅工程化/3DGS生产环境/工程指南.

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.

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.

Compare 3D Gaussian Splatting variants across 11 dimensions. Built-in knowledge of 760+ methods across 25 categories. Supports axis-driven fragment loading for efficient context usage. Use when: comparing 3DGS methods or variants, analyzing trade-offs between Gaussian Splatting approaches, generating comparison tables for 3DGS papers, finding the best 3DGS method for a scenario, 检索3DGS方法对比/3D高斯泼溅方法比较.

3DGS/CAD/Mesh domain-specific spatial intelligence agent: scene-level reasoning, CAD-in-the-loop parametric extraction, multi-modal 3D interaction, geometry-opacity decoupling, reflective material handling. Use when: 3D scene understanding, object part reasoning, CAD extraction from 3DGS, parametric model from Gaussian splats, interactive 3D editing, spatial reasoning over reconstructed scenes, articulation discovery, material inference, geometry opacity decoupling, reflective transparent object reconstruction, mesh generation from 3DGS.

Generate publication-quality visualizations for 3DGS research: radar charts, comparison tables, method timelines. Static (PDF/PNG) and interactive (HTML) output. Use when: creating comparison charts for 3DGS papers, visualizing method capabilities, generating method timelines or radar plots, 3DGS可视化/论文配图/方法对比图表.

Bridge CAD, Mesh, and 3DGS representations. Covers mesh↔3DGS conversion, surface extraction, CAD reverse engineering, B-rep/parametric reconstruction, NL-driven assembly, TetSphere physics bridge. Analyzes 61+ 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.

Migrate NeRF-based methods to 3DGS with step-by-step guidance. Analyzes component compatibility, provides code templates, identifies issues. Covers encoding, deformation, appearance, geometry. Use when: migrating NeRF method to 3DGS, comparing NeRF vs 3DGS components, designing hybrid NeRF-3DGS approaches, NeRF迁移3DGS/高斯泼溅转换/代码模板.

Generate CN patent docs (claims, specification, abstract) and software copyright materials from AI/big-data project code or docs. Covers 7 AI domains + big data, 11 claim templates, auto domain detection, desensitization, prior-art search, and self-check. Use when: drafting CN patents from AI code/docs, generating software copyright materials, prior-art search for AI inventions, 专利撰写/软件著作权/AI知识产权/脱敏处理.