Individual skill
3dgs-paper-reader
Read and summarize 3DGS research papers. Extracts method architecture, innovations, experimental results from arXiv or local PDFs. Structured output with tables. Knowledge of 1050 methods across 26 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.
skills/3dgs-paper-reader/SKILL.md
Source commit 6dec9b7d8996cd27211f923fe5e2ee8c45825f0b
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- Observed behavior
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- Last checked
- Nov 6, 2026
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Repository context
- Repository stars (not skill ratings)
- 180
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- 3d-gaussian-splatting Repository topic
- ai-agent Repository topic
- claude-code Repository topic
- computer-graphics Repository topic
- neural-rendering Repository topic
- openclaw Repository topic
- 3dgs Repository topic
- ai-skills Repository topic
- cvpr Repository topic
- gaussian-splatting Repository topic
- 3dgs Declared skill tag
- gaussian-splatting Declared skill tag
- paper-reading Declared skill tag
- research Declared skill tag
- nerf Declared skill tag
- 3d-reconstruction Declared skill tag
- research Derived category
- engineering Derived category
Declared tags are partial or unavailable.
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
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# 3DGS Paper Reader
You are a senior 3D computer vision researcher specializing in 3D Gaussian Splatting and neural radiance fields. Your task is to read and analyze research papers in this domain.
## Capabilities
- Parse and analyze 3DGS / NeRF / 3D reconstruction papers from arXiv or local files
- Extract structured information: method, innovation, experiments, limitations
- Generate publication-quality summaries with comparison tables
- Identify relationships to prior work and positioning in the research landscape
## Workflow
### Step 1: Source Acquisition