Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Curated papers and resources for 3D Gaussian Splatting. An agent skill from wentorai/research-plugins.
Install Gaussian Splatting Papers Guide
$ npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins gaussian-splatting-papers-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/cs/gaussian-splatting-papers-guide .claude/skills/gaussian-splatting-papers-guide && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gaussian-splatting-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/cs/gaussian-splatting-papers-guide into .claude/skills/gaussian-splatting-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gaussian-splatting-papers-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/domains/cs/gaussian-splatting-papers-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins gaussian-splatting-papers-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/domains/cs/gaussian-splatting-papers-guide .agents/skills/gaussian-splatting-papers-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gaussian-splatting-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/cs/gaussian-splatting-papers-guide into .agents/skills/gaussian-splatting-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gaussian-splatting-papers-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins gaussian-splatting-papers-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/domains/cs/gaussian-splatting-papers-guide .cursor/skills/gaussian-splatting-papers-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gaussian-splatting-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/cs/gaussian-splatting-papers-guide into .cursor/skills/gaussian-splatting-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gaussian-splatting-papers-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/domains/cs/gaussian-splatting-papers-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins gaussian-splatting-papers-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/domains/cs/gaussian-splatting-papers-guide .gemini/skills/gaussian-splatting-papers-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gaussian-splatting-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/cs/gaussian-splatting-papers-guide into .gemini/skills/gaussian-splatting-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gaussian-splatting-papers-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wentorai/research-plugins gaussian-splatting-papers-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/domains/cs/gaussian-splatting-papers-guide .github/skills/gaussian-splatting-papers-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gaussian-splatting-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/cs/gaussian-splatting-papers-guide into .github/skills/gaussian-splatting-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gaussian-splatting-papers-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins gaussian-splatting-papers-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/domains/cs/gaussian-splatting-papers-guide .opencode/skills/gaussian-splatting-papers-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gaussian-splatting-papers-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/cs/gaussian-splatting-papers-guide into .opencode/skills/gaussian-splatting-papers-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gaussian-splatting-papers-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
gaussian-splatting-papers-guide- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~1.3k tokens
- SKILL.md length
- 225 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Curated papers and resources for 3D Gaussian Splatting. An agent skill from wentorai/research-plugins.
- Works in 3 steps: "A Survey on 3D Gaussian Splatting"… → "3DGS: Recent Developments and… → "Gaussian Splatting: A Survey" (Fei et…
- Tasks that involve Literature review
- SKILL.md covers Overview, Core Paper, Research Landscape and Tracking New Papers, plus 5 more sections
- Calls git, pip and python; reaches github.com
What it does
Gaussian Splatting Papers Guide is an agent skill from wentorai/research-plugins. Curated papers and resources for 3D Gaussian Splatting
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Literature review. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Literature review
Example prompts
- “/gaussian-splatting-papers-guide”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- "A Survey on 3D Gaussian Splatting" (Chen et al., 2024) — comprehensive taxonomy
- "3DGS: Recent Developments and Applications" (Wu et al., 2024) — application-focused
- "Gaussian Splatting: A Survey" (Fei et al., 2024) — technical deep dive
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
gitpippython
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
Also links to:
repo-sam.inria.fr3dgaussians.github.io
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Gaussian Splatting Papers Guide loads about 1.3k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 225 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 225 words, ~1,310 tokens.
Download SKILL.mdSave it as
.claude/skills/gaussian-splatting-papers-guide/SKILL.md (or your agent's skills folder).- name
- gaussian-splatting-papers-guide
- description
- Curated papers and resources for 3D Gaussian Splatting
3D Gaussian Splatting Papers Guide
Overview
3D Gaussian Splatting (3DGS) is a breakthrough technique for real-time radiance field rendering that represents scenes as collections of 3D Gaussians. This curated collection tracks the rapidly evolving 3DGS literature — from the original paper through extensions for dynamic scenes, generation, compression, SLAM, avatars, and more. Essential for researchers in computer vision, graphics, and neural rendering.
Core Paper
@inproceedings{kerbl3Dgaussians,
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas
and Drettakis, George},
booktitle={ACM SIGGRAPH 2023},
year={2023}
}Key Idea
Input: Multi-view images + SfM point cloud
↓
Initialize 3D Gaussians (position, covariance, color, opacity)
↓
Differentiable splatting (project Gaussians → image plane)
↓
Optimize via photometric loss
↓
Adaptive density control (clone, split, prune)
↓
Output: Real-time renderable 3D scene (100+ FPS)Research Landscape
Category Map
| Category | Focus | Key Papers |
|---|---|---|
| Static Scenes | Quality, compression, anti-aliasing | Mip-Splatting, Compact3D |
| Dynamic Scenes | Deformable, 4D, temporal | Dynamic3DGS, 4DGS, Deformable3DGS |
| Generation | Text/image to 3D | DreamGaussian, GaussianDreamer, LGM |
| SLAM | Real-time mapping | SplaTAM, Gaussian-SLAM, MonoGS |
| Avatars | Human body/face | GaussianAvatar, HUGS, SplatFace |
| Autonomous Driving | Street scenes | StreetGaussians, DriveGS |
| Compression | Storage efficiency | LightGaussian, CompGS |
| Editing | Scene manipulation | GaussianEditor, GSEditor |
| Physics | Simulation, deformation | PhysGaussian, Gaussian Splashing |
| Language | 3D understanding | LangSplat, LEGaussians |
Tracking New Papers
import requests
from datetime import datetime, timedelta
# Search arXiv for recent 3DGS papers
def search_3dgs_papers(days_back=7):
"""Find recent 3D Gaussian Splatting papers on arXiv."""
import arxiv
query = (
"ti:gaussian splatting OR "
"abs:3D gaussian splatting OR "
"abs:3DGS"
)
search = arxiv.Search(
query=query,
max_results=50,
sort_by=arxiv.SortCriterion.SubmittedDate,
)
cutoff = datetime.now() - timedelta(days=days_back)
papers = []
for result in search.results():
if result.published.replace(tzinfo=None) > cutoff:
papers.append({
"title": result.title,
"authors": [a.name for a in result.authors[:3]],
"url": result.entry_id,
"published": result.published.strftime("%Y-%m-%d"),
"categories": result.categories,
})
return papers
recent = search_3dgs_papers(days_back=14)
for p in recent:
print(f"[{p['published']}] {p['title']}")
print(f" {', '.join(p['authors'])} | {p['url']}")Key Methods Comparison
# Performance comparison (from original benchmarks)
methods = {
"NeRF": {"psnr": 31.01, "fps": 0.03, "train_time": "hours"},
"Instant-NGP": {"psnr": 33.18, "fps": 9.43, "train_time": "5 min"},
"3DGS": {"psnr": 33.31, "fps": 134, "train_time": "6 min"},
"Mip-Splatting": {"psnr": 33.46, "fps": 120, "train_time": "7 min"},
}
print(f"{'Method':<16} {'PSNR':>6} {'FPS':>8} {'Training':>10}")
print("-" * 44)
for name, m in methods.items():
print(f"{name:<16} {m['psnr']:>6.2f} {m['fps']:>8.2f} "
f"{m['train_time']:>10}")Implementation Resources
# Original implementation
git clone https://github.com/graphdeco-inria/gaussian-splatting
cd gaussian-splatting
pip install -r requirements.txt
# Train on custom scene
python train.py -s path/to/colmap/data
# Real-time viewer
./SIBR_viewers/bin/SIBR_gaussianViewer_app \
-m output/trained_modelSurvey Papers
- "A Survey on 3D Gaussian Splatting" (Chen et al., 2024) — comprehensive taxonomy
- "3DGS: Recent Developments and Applications" (Wu et al., 2024) — application-focused
- "Gaussian Splatting: A Survey" (Fei et al., 2024) — technical deep dive
Use Cases
- Novel view synthesis: Photo-realistic rendering from sparse views
- Real-time visualization: Interactive 3D scene exploration
- Digital twins: Rapid scene reconstruction for simulation
- VR/AR content: Real-time immersive experiences
- Autonomous driving: Street-level scene understanding
References
© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/domains/cs/gaussian-splatting-papers-guide of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Gaussian Splatting Papers Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gaussian Splatting Papers Guide this skillwentorai/research-plugins | 298 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Preprint Search on bioRxivLigphiDonk/Oh-my--paper | 739 | 12 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence |
Similar skills
Systematic Review Screener
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Preprint Search on bioRxiv
LigphiDonk/Oh-my--paper
Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
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Related
Categories
Questions about Gaussian Splatting Papers Guide
What does Gaussian Splatting Papers Guide do?
Curated papers and resources for 3D Gaussian Splatting. An agent skill from wentorai/research-plugins. Gaussian Splatting Papers Guide is an agent skill from wentorai/research-plugins.
When should I use Gaussian Splatting Papers Guide?
Gaussian Splatting Papers Guide fits situations like: tasks that involve Literature review.
How do I install Gaussian Splatting Papers Guide in Claude Code?
Run `npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a claude-code`. Or copy the skill folder (skills/domains/cs/gaussian-splatting-papers-guide in wentorai/research-plugins) into .claude/skills/gaussian-splatting-papers-guide in your project. Claude Code loads it when a task matches its description.
How do I install Gaussian Splatting Papers Guide in Codex?
Run `npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a codex`. Or copy the skill folder (skills/domains/cs/gaussian-splatting-papers-guide in wentorai/research-plugins) into .agents/skills/gaussian-splatting-papers-guide in your project. Codex loads it when a task matches its description.
Can I use Gaussian Splatting Papers Guide in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill gaussian-splatting-papers-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gaussian-splatting-papers-guide, .gemini/skills/gaussian-splatting-papers-guide, .github/skills/gaussian-splatting-papers-guide and .opencode/skills/gaussian-splatting-papers-guide in your project.
What does Gaussian Splatting Papers Guide need to run?
Going by SKILL.md and its folder, Gaussian Splatting Papers Guide needs the command-line tools its instructions call (git, pip and python). Our summary lists: Python 3.
Does Gaussian Splatting Papers Guide access the network?
SKILL.md names 3 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: repo-sam.inria.fr and 3dgaussians.github.io. This is read from the text; nothing was executed.
Is Gaussian Splatting Papers Guide safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Gaussian Splatting Papers Guide use?
Gaussian Splatting Papers Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Gaussian Splatting Papers Guide use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Gaussian Splatting Papers Guide?
Skills that share tags, products or a category with Gaussian Splatting Papers Guide: Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gaussian Splatting Papers Guide?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.