Fetch tiered summaries of academic papers from AlphaXiv and arXiv.
npx skills add https://github.com/dogekiki/SP-test --skill alphaxiv-dogekiki
Please help me install this Agent Skill. Skill: alphaxiv Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/alphaxiv Command: npx skills add https://github.com/dogekiki/SP-test --skill alphaxiv-dogekiki
This skill solves the problem of information overload when reading academic papers by providing tiered, LLM-optimized summaries that allow for rapid comprehension without needing to parse full PDFs manually.
Use the alphaxiv skill to summarize the paper with the arXiv ID 2401.12345.
High-intent search queries and answers about installing and using this skill.
You can summarize an arXiv paper by fetching a tiered, LLM-optimized overview from AlphaXiv. This provides rapid comprehension of the core methodology and thesis without needing to manually parse the full PDF.
Yes, you can extract LaTeX source code from arXiv papers. The tool fetches deep-dive LaTeX source from AlphaXiv and arXiv APIs, handling browser-like user agents automatically to retrieve the structured content.
The best way to automate wiki ingestion is to use the tool's automated integration feature. It fetches structured markdown overviews of academic papers and logs the paper's thesis directly into your local research repository.
Yes, network access to AlphaXiv and arXiv APIs is required to fetch full markdown content. The tool relies on active connections to retrieve structured overviews and handle automated source extraction.
Yes, the AlphaXiv summarization tool supports research workflows by enabling quick relevance filtering. It delivers instant structured overviews so you can determine if a paper is worth a deeper read.
jkfeeSummarize a single research paper from arXiv IDs, URLs, or AlphaXiv IDs.
dogekikiSearch the web and extract text, summaries, and highlights via the Exa API.
dogekikiFetch external metadata and generate structured summaries for research paper wiki TODO sections.
goupup-aiSummarize individual arXiv papers using tiered AlphaXiv and LaTeX sources.
