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Compare 3D Gaussian Splatting variants across 11 dimensions. Built-in knowledge of 976 methods across 26 categories. Supports axis-driven fragment loading for efficient context usage. Use when: comparing 3DGS methods or variants, analyzing trade-offs between Gaussian Splatting
$ npx -y skills add jaccen/Awesome-Gaussian-Skills --skill 3dgs-method-compare --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/3dgs-method-compareContext preview
The summary Claude sees to decide when to auto-load this skill.
Compare 3D Gaussian Splatting variants across 11 dimensions. Built-in knowledge of 976 methods across 26 categories. Supports axis-driven fragment loading for efficient context usage. Use when: comparing 3DGS methods or variants, analyzing trade-offs between Gaussian Splatting
name: 3dgs-method-compare
description: 'Compare 3D Gaussian Splatting variants across 11 dimensions. Built-in knowledge of 1011 methods across
26 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.'
license: Apache-2.0
metadata:
version: 3.0.0
author: jaccen
tags:
- 3dgs
- gaussian-splatting
- method-comparison
- research
when_to_use:
- 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
platform-fields:
user-invocable: true> **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.
Analyze the user's request to determine axis values:
| 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 | application | | Broad/unspecified comparison across many categories | all |
| 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.
Read these files from static/:
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 | | application | static/methods-application.md | | all | ALL method fragments (methods-core.md through methods-application.md) |
**Optimization**: For depth=quick, load only the relevant category fragment + core-stance. For depth=comprehensive, load all fragments plus output-rules.
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)
This skill focuses on method-level comparison. For related workflows:
The following are categorical prohibitions. Violating any of these invalidates the output:
Do NOT try to apply the comparison logic, method data, or technical details described in this skill from memory. Always read the SKILL.md and referenced files from disk before producing any output. The knowledge base is updated frequently; stale memory may produce outdated, inaccurate, or fabricated results.
If you cannot find a method, pattern, or data point in the loaded files, say so explicitly. Never invent metrics, venue acceptanc
900 arXiv-verified 3DGS methods · 15 AI agent skills · MCP server (34 tools) · open ebook — the AI-native entry to 3D Gaussian Splatting research
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