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Use when user shares an arxiv or alphaxiv URL, mentions a paper ID like 2401.12345, or asks to explain, summarize, or analyze a research paper. Fetches structured AI-generated overview from alphaxiv.org instead of reading raw PDFs.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/mayank-io/mstack --skill alphaxiv-paper命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Extract content from an X/Twitter post, thread, or article using the gstack browser. Detects threads automatically, walks back to the first post when the shared link lands mid-thread, and downloads images locally. Use when the user says "read this x post", "get content from this tweet", "what does this x post say", "extract this tweet", "get the whole thread", or shares an x.com/twitter.com URL.
Extract a LinkedIn post — author, headline, full text, engagement metrics, images, and any URLs it shares — using the gstack browser. Use when the user says "read this linkedin post", "get this linkedin post", "extract this linkedin post", or shares a linkedin.com/posts or linkedin.com/feed/update URL. Returns content and images to a directory; it does not write notes.
This skill should be used when the user shares a blog/article URL (Medium, Substack, personal blog, news/long-form post) and asks to "download this blog post", "save this article", "archive this post with images", "clip this medium article", or otherwise wants a self-contained local copy. Extracts clean markdown via Defuddle, recovers lazy-loaded images via the gstack browser (which Defuddle drops), and — when the article contains Vedic astrology charts — invokes the fetch:vedic-chart skill to digitize them. Saves a folder with frontmatter + an images/ subfolder.
| name | alphaxiv-paper |
| description | Use when user shares an arxiv or alphaxiv URL, mentions a paper ID like 2401.12345, or asks to explain, summarize, or analyze a research paper. Fetches structured AI-generated overview from alphaxiv.org instead of reading raw PDFs. |
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
arxiv.org/abs/2401.12345)2401.12345)alphaxiv.org/overview/2401.12345)Parse the paper ID from whatever the user provides:
| Input | Paper ID |
|---|---|
https://arxiv.org/abs/2401.12345 | 2401.12345 |
https://arxiv.org/pdf/2401.12345 | 2401.12345 |
https://alphaxiv.org/overview/2401.12345 | 2401.12345 |
2401.12345v2 | 2401.12345v2 |
2401.12345 | 2401.12345 |
curl -s "https://alphaxiv.org/overview/{PAPER_ID}.md"
This returns the intermediate machine-readable report — a structured, detailed analysis of the paper optimized for LLM consumption. One call, plain markdown, no JSON parsing.
If this returns 404, the report hasn't been generated for this paper yet.
If the report doesn't contain the specific information the user is asking about (e.g. a particular equation, table, or section), fetch the full paper text:
curl -s "https://alphaxiv.org/abs/{PAPER_ID}.md"
This returns the full extracted text of the paper as markdown. Only use this as a fallback — the report is usually sufficient.
If this returns 404, the full text hasn't been processed yet. As a last resort, direct the user to the PDF at https://arxiv.org/pdf/{PAPER_ID}.
Accepts an optional output_dir. When omitted, write to a fresh temp directory.
Create the directory if it does not exist and never write outside it.
Print the result as the final line of stdout:
OUTPUT_FILE:/absolute/path/to/file