3dgs-paper-readerRead and summarize 3DGS research papers. Extracts method architecture, innovations, experimental results from arXiv or local PDFs. Structured output with tab...
Install via ClawdBot CLI:
clawdbot install jaccen/3dgs-paper-readerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/jaccen/Awesome-Gaussian-SkillsUses known external API (expected, informational)
arxiv.orgAudited May 10, 2026 · audit v1.0
Generated Jul 11, 2026
A researcher working on 3D Gaussian Splatting or NeRF can quickly ingest multiple arXiv papers daily. The skill extracts architecture, innovations, and results into structured tables, enabling rapid comparison of methods like 3DGS, 2DGS, and Scaffold-GS without reading full texts.
An R&D team in a computer vision company monitors state-of-the-art 3D reconstruction methods. The skill parses papers from top venues (CVPR, SIGGRAPH, ICCV) and highlights key performance gains over baselines, helping prioritize which methods to integrate into their product pipeline.
A principal investigator preparing a funding proposal on 3D scene understanding uses the skill to generate concise summaries of recent breakthroughs. Structured outputs with limitations and relationships to prior work strengthen the literature review section, saving hours of manual reading.
A professor designing a course on neural rendering uses the skill to compile a reading list. By quickly extracting method details and key results, they can curate assignments that compare different Gaussian splatting variants across multiple datasets and metrics.
An IP analyst evaluates patent landscapes in 3D reconstruction. The skill helps parse technical papers to identify novel contributions (e.g., adaptive density control, frequency-aware splitting) and compare them against prior art, speeding up freedom-to-operate assessments.
Offer tiered subscriptions to university labs and corporate R&D teams. Basic tier includes daily paper parsing (up to 10 papers/day), Pro tier adds custom arXiv feeds and export to reference managers (Zotero, Mendeley). Revenue: monthly per-seat pricing ($20-50/user) or institutional plans ($500-2000/month).
Free users can parse 3 papers per week, with structured summaries. Paid users get unlimited access, priority for new arXiv IDs, and API access for integration into internal workflows (e.g., Slack bot, Jira). Revenue: $0.99 per extra report or $10/month unlimited.
Tailored for IP firms needing to monitor arXiv for prior art. Includes advanced search by method keywords, bulk export of comparisons, and dedicated support. Revenue: annual contracts starting at $5,000 with per-seat add-ons.
💬 Integration Tip
To integrate, set up a daily arXiv feed with filters for '3DGS' or 'Gaussian Splatting' and feed new paper PDFs to the skill. For teams, use a Slack bot that accepts arXiv URLs and returns structured summaries.
Scored Jul 20, 2026
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search research about", "download academic articles", "get citations for", or any request involving academic databases like arXiv, PubMed, Semantic Scholar, or Google Scholar. Also use for literature reviews, bibliography generation, and research discovery. Requires OpenClawCLI installation from clawhub.ai.
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Add real references and standardize citations for research papers and theses (为科研论文和毕业论文添加真实参考文献并规范引用标注)
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Search, download, and summarize academic papers from arXiv. Built for AI/ML researchers.
Provides curated quotes about the planet Jupiter for educational or reference purposes upon request.