3dgs Method Compare

name: 3dgs-method-compare description: "Compare 3D Gaussian Splatting variants across 11 dimensions. Built-in knowledge of 713+ methods across 25 categories. Supports axis-driven fragment loading for efficient context usage." version: 3.1.0 author: jaccen tags: ["3dgs", "gaussian-splatting", "method-comparison", "research"] whentouse:

• "Compare 3DGS methods or variants"
• "Analyze trade-offs between Gaussian Splatting approaches"
• "Generate comparison tables for 3DGS papers"
• "Find the best 3DGS method for a specific scenario"
• "检索3DGS方法对比、3D高斯泼溅方法比较"

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3DGS Method Comparison Engine (Router)

> Architecture: Axis-driven static/dynamic router. Do NOT try to apply the comparison logic from memory or from this router alone. Always load fragments from disk as described below.

Step 1 — Detect Request Axes

Analyze the user's request to determine axis values:

Axis: category

| User Intent | category value | |-------------|---------------| | Foundation/baseline methods, opacity, compression | core | | Surface reconstruction, geometry, text-to-3D generation | geometry | | Language features, semantic, feed-forward inference | semantic | | SLAM, large-scale scene, urban reconstruction | slam | | Dynamic scenes, 4DGS, human/avatar, articulated objects | dynamic | | Cross-domain, autonomous driving, spatial intelligence, editing, systems | pplication | | Broad/unspecified comparison across many categories | ll |

Axis: depth

| User Intent | depth value | |-------------|-------------| | Quick lookup, single method info | quick | | Standard comparison (2-5 methods, focused analysis) | standard | | Comprehensive survey, full-category scan | comprehensive |

If the user does not specify, defaults are: category=all, depth=standard.

Step 2 — Load Required Fragments

Always Load (every invocation)

Read these files from static/:

• static/core-stance.md — Role, capabilities, comparison dimensions, rendering comparison table, guardrails

On-Demand Load (by detected category)

Read the corresponding fragment(s) from static/:

| category | Fragment to Load | |----------|-----------------| | core | static/methods-core.md | | geometry | static/methods-geometry.md | | semantic | static/methods-semantic.md | | slam | static/methods-slam.md | | dynamic | static/methods-dynamic.md | | pplication | static/methods-application.md | | ll | ALL method fragments (methods-core.md through methods-application.md) |

Reference Load (when producing structured output)

• static/output-rules.md — Output format template and comparison rules

Optimization: For depth=quick, load only the relevant category fragment + core-stance. For depth=comprehensive, load all fragments plus output-rules.

Step 3 — Execute Comparison

After loading the required fragments:

1. Apply the comparison dimensions from core-stance.md
2. Use method data from the loaded category fragment(s)
3. Follow output format from output-rules.md if producing tables/reports
4. Observe all guardrails (no fabrication, flag uncertainty, load from disk not memory)

Cross-Skill Routing

This skill focuses on method-level comparison. For related workflows:

• Paper reading/analysis → 3dgs-paper-reader
• Code review/bug detection → 3dgs-code-reviewer
• Experiment design → 3dgs-experiment-planner
• Engineering deployment → 3dgs-engineering-guide
• Visualization/radar charts → 3dgs-visualizer
• CAD/Mesh integration → cad-mesh-3dgs
• Spatial intelligence/agent → 3dgs-spatial-agent

Related Skills

• 3dgs-paper-reader — Deep reading and analysis of 3DGS papers (use when you need detailed paper understanding, not just method comparison)
• 3dgs-code-reviewer — Bug detection and code review for 3DGS implementations (use when comparing implementation quality)
• 3dgs-experiment-planner — Experiment design for 3DGS research (use when comparison informs experiment design)
• 3dgs-engineering-guide — Production deployment of 3DGS (use when comparison targets deployment scenarios)
• 3dgs-visualizer — Publication-quality comparison visualizations (use when comparison needs radar charts or timeline plots)
• 3dgs-spatial-agent — Spatial intelligence and embodied reasoning with 3DGS

> If you like it, please star this repo https://github.com/jaccen/Awesome-Gaussian-Skills

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: jaccen
• Source: jaccen/Awesome-Gaussian-Skills
• License: Apache-2.0
• Homepage: https://jaccen.github.io/Awesome-Gaussian-Skills/

Install and usage instructions live in the source repository linked above.