Paper Reading
Edwardxlai/easyread
论文共读：用 EasyRead（E:\CursorProject\easyread）这个本地工具读论文。用户给一篇 PDF 或 arXiv 编号时，导入文献库、翻译成中文（后台引擎或对话里的 agent 亲自译）；之后边读边讨论，agent 读用户在页面上的笔记和提问，把回答、解释、原文核对提示追加到对应段落旁。用于…
Read and summarize 3DGS research papers. An agent skill from jaccen/Awesome-Gaussian-Skills.
Install 3dgs Paper Reader
$ npx skills add jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jaccen/Awesome-Gaussian-Skills 3dgs-paper-reader --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/jaccen/Awesome-Gaussian-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/3dgs-paper-reader .claude/skills/3dgs-paper-reader && 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 "3dgs-paper-reader" agent skill from https://github.com/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-paper-reader into .claude/skills/3dgs-paper-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3dgs-paper-reader", 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/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-paper-readerType 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 jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jaccen/Awesome-Gaussian-Skills 3dgs-paper-reader --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaccen/Awesome-Gaussian-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/3dgs-paper-reader .agents/skills/3dgs-paper-reader && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "3dgs-paper-reader" agent skill from https://github.com/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-paper-reader into .agents/skills/3dgs-paper-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3dgs-paper-reader", 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 jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jaccen/Awesome-Gaussian-Skills 3dgs-paper-reader --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaccen/Awesome-Gaussian-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/3dgs-paper-reader .cursor/skills/3dgs-paper-reader && 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 "3dgs-paper-reader" agent skill from https://github.com/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-paper-reader into .cursor/skills/3dgs-paper-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3dgs-paper-reader", 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/jaccen/Awesome-Gaussian-Skills.git --path skills/3dgs-paper-reader--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 jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jaccen/Awesome-Gaussian-Skills 3dgs-paper-reader --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaccen/Awesome-Gaussian-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/3dgs-paper-reader .gemini/skills/3dgs-paper-reader && 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 "3dgs-paper-reader" agent skill from https://github.com/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-paper-reader into .gemini/skills/3dgs-paper-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3dgs-paper-reader", 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 jaccen/Awesome-Gaussian-Skills 3dgs-paper-readerInstalls 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 jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jaccen/Awesome-Gaussian-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/3dgs-paper-reader .github/skills/3dgs-paper-reader && 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 "3dgs-paper-reader" agent skill from https://github.com/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-paper-reader into .github/skills/3dgs-paper-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3dgs-paper-reader", 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 jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jaccen/Awesome-Gaussian-Skills 3dgs-paper-reader --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaccen/Awesome-Gaussian-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/3dgs-paper-reader .opencode/skills/3dgs-paper-reader && 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 "3dgs-paper-reader" agent skill from https://github.com/jaccen/Awesome-Gaussian-Skills/tree/main/skills/3dgs-paper-reader into .opencode/skills/3dgs-paper-reader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "3dgs-paper-reader", 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
3dgs-paper-reader- GitHub stars
- 161
- Token cost
- ~2.7k tokens
- SKILL.md length
- 1,085 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Read and summarize 3DGS research papers. An agent skill from jaccen/Awesome-Gaussian-Skills.
- Works in 3 steps: Source Acquisition → Full-Text Analysis → Structured Summary Output
- Analyzing a 3DGS/NeRF paper
- SKILL.md covers Capabilities, Workflow, Domain Knowledge Rules and Red Lines, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
3dgs Paper Reader is an agent skill from jaccen/Awesome-Gaussian-Skills. Read and summarize 3DGS research papers. Extracts method architecture, innovations, experimental results from arXiv or local PDFs. Structured output with tables. Knowledge of 872 methods across 23 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.
Its SKILL.md is about 2.7k 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 Academic paper search, PDF and Structured output and tool calling. It works with arXiv. The repository describes itself as: 图形学与3DGS、空间智能持续更新论文；AI Agent Skills for 3D Gaussian Splatting, NeRF & Computer Graphics Research. 800+ methods, 25categories, 12skills. OpenClaw / Claude Code compatible. The licence is Apache-2.0.
When your agent uses it
- 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
Example prompts
- “/3dgs-paper-reader”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e569b20. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
3dgs Paper Reader loads about 2.7k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 1,085 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 jaccen/Awesome-Gaussian-Skills at commit e569b20, republished under its Apache-2.0 licence (© jaccen). 1,085 words, ~2,706 tokens.
Download SKILL.mdSave it as
.claude/skills/3dgs-paper-reader/SKILL.md (or your agent's skills folder).- name
- 3dgs-paper-reader
- description
- Read and summarize 3DGS research papers. Extracts method architecture, innovations, experimental results from arXiv or local PDFs. Structured output with tables. Knowledge of 872 methods across 23 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.
- license
- Apache-2.0
- user-invocable
- true
- metadata.version
- 1.5.0
- metadata.author
- jaccen
- metadata.tags
- 3dgs, gaussian-splatting, paper-reading, research, nerf, 3d-reconstruction
- metadata.when_to_use
- Read or analyze a 3DGS/NeRF research paper, Extract method architecture or innovations from arXiv PDF, Summarize 3D reconstruction research with structured…
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
When the user provides a paper reference, identify the source type:
| Source Format | Action |
|---|---|
| arXiv ID (e.g., "2401.01345") | Fetch from arxiv.org/abs/{ID} |
| arXiv URL | Extract ID and fetch |
| Local PDF path | Read the PDF directly |
| Paper title | Search arXiv and retrieve the most relevant match |
Step 2: Full-Text Analysis
Read the entire paper and extract the following structured information:
- Metadata: Title, authors, venue, year, arXiv ID
- Problem Statement: What specific problem does this paper solve?
- Core Innovation: The single most important contribution (1-2 sentences)
- Method Details:
- Input representation (point cloud / images / video / meshes)
- 3D primitive type (anisotropic Gaussians / 2D Gaussians / surfels / hybrid)
- Key attributes per primitive (μ, Σ, opacity, SH coefficients, ...)
- Rendering formulation (α-blending / differentiable rasterization / ...)
- Loss functions (L1 + SSIM + D-SSIM + perceptual + regularizer)
- Training strategy (adaptive density control / pruning / splitting / ...)
- Special mechanisms (frequency-aware / signed opacity / deformable / ...)
- Experimental Setup:
- Datasets used (Mip-NeRF 360 / Tanks and Temples / Deep Blending / DTU / ...)
- Evaluation metrics (PSNR / SSIM / LPIPS / FPS / memory / #Gaussians)
- Baselines compared against
- Key Results: Quantitative comparison table (method → PSNR → SSIM → LPIPS)
- Limitations: Explicitly stated or inferred limitations
- Relationship to Existing Work: How does this compare to known methods?
Step 3: Structured Summary Output
Generate the summary in the following format:
## [Paper Title]
**Authors**: ...
**Venue**: ...
**ArXiv**: ...
### One-Line Summary
[1 sentence capturing the essence]
### Problem
[What gap does this paper fill?]
### Method
[2-3 paragraphs describing the technical approach]
### Key Innovation
[The single most novel contribution]
### Results
| Dataset | Metric | This Method | Best Baseline | Delta |
|---------|--------|-------------|---------------|-------|
| ... | PSNR | ... dB | ... dB | ... |
### Limitations
- ...
### Relationship to Known Methods
[Compare to NegGS, 2DGS, Scaffold-GS, etc. if applicable]Domain Knowledge Rules
3DGS Baseline Knowledge
When analyzing papers, you have deep knowledge of these foundational methods:
- 3DGS (Kerbl et al., SIGGRAPH 2023): Anisotropic 3D Gaussians, tile-based differentiable rasterization, adaptive density control. Baseline metrics on Mip-NeRF 360: 27.21 dB PSNR average (30K iterations, original paper).
- 2DGS (Huang et al., SIGGRAPH 2024): Replaces 3D Gaussians with 2D oriented disks, better surface reconstruction.
- Scaffold-GS (Lu et al., CVPR 2024 Highlight): Anchor-based structure for stable training and large-scale scenes.
- NegGS: Negative color mechanism with Diff-Gaussian distribution for ring/crescent structures.
Notable 2025-2026 Papers (Quick Reference)
| ArXiv ID | Method | Venue | Key Idea |
|---|---|---|---|
| 2605.00408 | LeGS | arXiv'26 | RL-based density control for 3DGS training |
| 2605.00569 | 2D-SuGaR | arXiv'26 | Surface-aware Gaussian Splatting extending 2DGS with depth/normal priors |
| 2605.00498 | GOR-IS | arXiv'26 | Gaussian editing via intrinsic decomposition |
| 2605.02086 | GETA-3DGS | arXiv'26 | Joint pruning and quantization for 3DGS compression |
| 2605.00177 | FieryGS | ICLR'26 | Physics-integrated fire synthesis in Gaussian scenes |
| 2605.00219 | VkSplat | arXiv'26 | Cross-vendor training for portable 3DGS |
| 2605.01736 | GLMap | CVPR'26 | Gaussian-Language Map for embodied navigation |
| 2605.02784 | HumanSplatHMR | arXiv'26 | Human body reconstruction with 3DGS + HMR |
| 2604.28016 | Structure-Aware Densification | SIGGRAPH'26 | Frequency-aware anisotropic splitting for densification |
| 2604.27437 | Softmax-GS | CVPR'26 Findings | Softmax competition rendering replaces α-compositing |
| 2605.01466 | SplAttN | ICML'26 Spotlight | Gaussian soft splatting for point cloud understanding |
| 2604.27590 | Fake3DGS | arXiv'26 | 3D manipulation detection in Gaussian Splatting scenes |
| 2604.27572 | SandSim | arXiv'26 | Sand simulation with 3D Gaussian representation |
| 2604.27552 | RGS | arXiv'26 | Residual GS for ultra sparse-view CBCT reconstruction |
| 2403.09637 | GaussianGrasper | T-RO'24 | Open-vocabulary robotic grasping via SAM+CLIP feature distillation into 3DGS |
| 2409.02084 | GraspSplats | CoRL'24 | Zero-shot manipulation with 3D feature splatting; NeRF unusable for scene changes |
| 2403.08498 | ManiGaussian | ECCV'24 | Dynamic GS world model for multi-task robotic manipulation |
| 2603.19137 | GSMem | arXiv'26 | 3DGS as persistent spatial memory for zero-shot embodied exploration |
| 2504.15387 | RoboSplat | RSS'25 | Diverse data generation via Gaussian primitive manipulation |
| 2502.01536 | VR-Robo | RAL'25 | Real-to-Sim-to-Real for visual robot navigation |
| 2604.28111 | GSDrive | arXiv'26 | 3DGS environment for reinforcing driving policies |
| — | GaussianPile | arXiv'26 | Volumetric medical GS with slice-aware PSF projection for CT/cBCT |
| — | Flow4DGS-SLAM | arXiv'26 | Optical flow-guided 4DGS for temporal consistency in SLAM |
| — | Ilov3Splat | arXiv'26 | Interpretable region-aware 3DGS decomposition |
| — | PhysX-Omni | arXiv'26 | Omni-physics integrated 3DGS for unified simulation & rendering |
| 2605.20872 | CAdam | SIGGRAPH'26 | Context-adaptive densification for generative distillation |
| 2604.12837 | GGD-SLAM | ICRA'26 | Generalizable motion model for dynamic SLAM |
| 2605.20185 | PiG-Avatar | arXiv'26 | Volumetric canonical Gaussian avatars with part-indexed fields |
| 2605.21478 | Latent Dynamics | arXiv'26 | Force decomposition for clothing animation |
| 2605.21121 | ROAR-3D | arXiv'26 | Token-wise view routing for multi-view 3D generation |
| 2605.19889 | GLUT | arXiv'26 | 3D Gaussian Lookup Table for color transformation |
| — | RAF | CVPR'26 Findings | Residual-aware feature modeling for transparent/reflective surfaces |
| — | D4RT | — | Differentiable 4D rendering with Gaussian representations |
| — | TRELLIS.2 | — | Scalable 3D asset generation with structured Gaussians |
| — | ReLaGS | — | Relightable and articulated Gaussian splatting |
| — | FreeForm | — | Free-form deformation for editable 3DGS |
Show full SKILL.md (375 more words)Show less
Terminology Conventions
Use standard 3DGS terminology:
- "3D Gaussian" (not "3D高斯球" or "三维高斯点")
- "opacity" (not "透明度", use "不透明度" when translating)
- "α-compositing" or "alpha blending" (not "alpha混合")
- "adaptive density control" (not "自适应密度控制")
- "splatting" (not "泼溅")
- "SH coefficients" or "spherical harmonics" (not "球谐函数系数" in English)
Quality Checks
Before outputting, verify:
- All numerical results are quoted verbatim from the paper (do not fabricate)
- Method descriptions are technically accurate
- Comparison to baselines is fair and complete
- Limitations are presented objectively
- If unsure about a detail, explicitly mark it as "[需要确认]" rather than guessing
Red Lines
The following are categorical prohibitions. Violating any of these invalidates the output:
- No invented data: Never fabricate PSNR/SSIM/LPIPS numbers, rendering speeds, or training times. If a value is not found in the loaded files, write "data not available" or "N/A".
- No hallucinated citations: Never invent paper titles, authors, DOIs, arXiv IDs, or venue names. Only reference works explicitly present in the skill's knowledge base or provided by the user.
- No silent speculation: If you are uncertain about a technical detail, explicitly flag it with "[UNCERTAIN]" rather than presenting it as fact.
- No method misattribution: Do not assign features, results, or mechanisms from one method to another. Each method's data is specific to that method.
- No oversimplified comparisons: Do not reduce multi-dimensional trade-offs to a single "better/worse" judgment without context.
Related Skills
- 3dgs-method-compare — Multi-dimensional method comparison engine (use after reading to compare methods)
- 3dgs-code-reviewer — Code-level bug detection (use when paper claims need implementation verification)
- 3dgs-experiment-planner — Experiment design (use when paper analysis leads to experiment planning)
- cg-paper-writing — Academic paper writing for CG/3D vision (use when reading informs your own writing)
- cad-mesh-3dgs — CAD/Mesh integration (use when paper involves mesh or surface reconstruction)
Guardrail: Do Not Apply From Memory
Do NOT try to apply the logic, method data, bug patterns, 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 acceptances, bug patterns, or technical features not present in the source data.
If you like it, please star this repo https://github.com/jaccen/Awesome-Gaussian-Skills
© jaccen, Apache-2.0. 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/3dgs-paper-reader of jaccen/Awesome-Gaussian-Skills.
Open the folder on GitHubat commit e569b20
Compare with similar skills
3dgs Paper Reader 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 |
|---|---|---|---|---|---|---|
| 3dgs Paper Reader this skilljaccen/Awesome-Gaussian-Skills | 161 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Paper ReadingEdwardxlai/easyread | 871 | — | ~567 | Automated safety check: Pass | MIT | |
| Ref Downloaderltczding-gif/ref-downloader | 139 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Paper Readingsodalone/paper-reading-skill | 142 | — | ~1.3k | Automated safety check: Pass | None | |
| Summaryalaliqing/claude-paper | 343 | — | ~2k | Automated safety check: Notes | MIT | |
| Paper ExplainerZJU-REAL/Easel | 3.3k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about 3dgs Paper Reader
What does 3dgs Paper Reader do?
Read and summarize 3DGS research papers. An agent skill from jaccen/Awesome-Gaussian-Skills. 3dgs Paper Reader is an agent skill from jaccen/Awesome-Gaussian-Skills. Read and summarize 3DGS research papers.
When should I use 3dgs Paper Reader?
3dgs Paper Reader fits situations like: 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.
How do I install 3dgs Paper Reader in Claude Code?
Run `npx skills add jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a claude-code`. Or copy the skill folder (skills/3dgs-paper-reader in jaccen/Awesome-Gaussian-Skills) into .claude/skills/3dgs-paper-reader in your project. Claude Code loads it when a task matches its description.
How do I install 3dgs Paper Reader in Codex?
Run `npx skills add jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a codex`. Or copy the skill folder (skills/3dgs-paper-reader in jaccen/Awesome-Gaussian-Skills) into .agents/skills/3dgs-paper-reader in your project. Codex loads it when a task matches its description.
Can I use 3dgs Paper Reader 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 jaccen/Awesome-Gaussian-Skills --skill 3dgs-paper-reader -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/3dgs-paper-reader, .gemini/skills/3dgs-paper-reader, .github/skills/3dgs-paper-reader and .opencode/skills/3dgs-paper-reader in your project.
What does 3dgs Paper Reader need to run?
SKILL.md names no scripts, command-line tools or credentials: 3dgs Paper Reader is instructions for the agent only.
Does 3dgs Paper Reader access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is 3dgs Paper Reader 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 3dgs Paper Reader use?
3dgs Paper Reader is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does 3dgs Paper Reader use?
About 2.7k tokens (SKILL.md is roughly 11k 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 3dgs Paper Reader?
Skills that share tags, products or a category with 3dgs Paper Reader: Paper Reading (Edwardxlai/easyread, 871 stars), Ref Downloader (ltczding-gif/ref-downloader, 139 stars), Paper Reading (sodalone/paper-reading-skill, 142 stars) and Summary (alaliqing/claude-paper, 343 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 3dgs Paper Reader?
jaccen (a GitHub user) maintains it in jaccen/Awesome-Gaussian-Skills, which has 161 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 9, 2026.
Source: jaccen/Awesome-Gaussian-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.