jaccen

MCP protocol integration with 3DGS rendering pipeline: Agent-controlled Three.js/WebGPU rendering, voice-driven scene reconstruction, real-time parameter manipulation. Prototype for Agent↔3DGS interaction.

3DGS/CAD/Mesh domain-specific spatial intelligence agent: scene-level reasoning, CAD-in-the-loop parametric extraction, multi-modal 3D interaction. Bridges 3DGS reconstruction with structured geometric understanding and Agent-driven generation.

Bridge CAD, Mesh, and 3DGS representations. Covers mesh↔3DGS conversion, surface extraction, CAD reverse engineering, B-rep/parametric reconstruction. Analyzes 35+ methods.

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.

Review 3DGS implementation code for correctness, performance bugs, and best practices. Covers CUDA kernels, rendering pipeline, training loop, loss functions. Detects 67+ known bug patterns.

Compare 3D Gaussian Splatting variants across 10+ dimensions. Built-in knowledge of 548+ methods across 25 categories.

Guide for deploying 3DGS from research to production: 10 industry verticals, engineering stack, GIS toolchain solutions, cross-platform deployment, and common pitfalls

Design rigorous experiments for 3DGS research papers. Recommends datasets, baselines, metrics, ablation matrices. Targets CVPR/ICCV/ECCV/SIGGRAPH/TVCG.

AI-native IP skill: generate patent applications, software copyright materials, or technical disclosures from AI project code/papers/docs, with direct Word and PPT output. Covers 7 AI domains, 15 claim templates, patentability check, innovation mining, desensitization, prior-art search, and self-check.

Academic paper writing skill for 3D vision, computer graphics, CAD, and 3D understanding. Covers NeRF, 3D Gaussian Splatting, multi-view stereo, SLAM, point cloud processing, 3D shape understanding/generation, CAD modeling, reverse engineering, 3D scene understanding. Use when the user asks to write, refine, or polish academic papers in CG/3D vision venues (CVPR, ICCV, ECCV, SIGGRAPH, EG, PG, TVCG, CGF) or doctoral dissertations. Provides domain terminology conventions, reviewer concern analysis, experiment design guidance, and venue-specific writing patterns. Trigger on: paper writing, draft refinement, rebuttal, introduction/related work/methodology/experiment sections, abstract, contribution summary.