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AI Agent & Automation Workflows

Skill pack
9 skills0 selected
jaccenSkills in this pack

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.

English

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.

English

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.

English

Signed Gaussian Splatting & TPSC (Transmittance-Preserving Subtractive Compositing): negative-opacity Gaussians that subtract color without consuming transmittance. Covers theory, CUDA implementation, bug patterns, and experimental design.

English

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.

English

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 50+ 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.

English

Generate publication-quality visualizations for 3DGS research: radar charts, comparison tables, method timelines. Supports both static (PDF/PNG) and interactive (HTML) output.

English

Migrate NeRF-based methods to 3D Gaussian Splatting with step-by-step guidance. Analyzes component compatibility, provides code templates, and identifies potential issues. Covers encoding, deformation, appearance, and geometry modules.

English

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.

English

Includes 3dgs Articulated Reasoner, 3dgs Compression Deploy, 3dgs MCP Renderer, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills9CategorygeneralStars0

What’s included

3dgs Articulated Reasoner

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 Deploy

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.

3dgs MCP Renderer

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 Signed Gaussian

Signed Gaussian Splatting & TPSC (Transmittance-Preserving Subtractive Compositing): negative-opacity Gaussians that subtract color without consuming transmittance. Covers theory, CUDA implementation, bug patterns, and experimental design.

3dgs Spatial Agent

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.

3dgs Training Debugger

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 50+ 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 Visualizer

Generate publication-quality visualizations for 3DGS research: radar charts, comparison tables, method timelines. Supports both static (PDF/PNG) and interactive (HTML) output.

Nerf to 3dgs Migrator

Migrate NeRF-based methods to 3D Gaussian Splatting with step-by-step guidance. Analyzes component compatibility, provides code templates, and identifies potential issues. Covers encoding, deformation, appearance, and geometry modules.

Patent Software Ip

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.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the 3dgs Articulated Reasoner skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported licenses for the skills shown: Apache-2.0, MIT. The author’s terms apply.