Retrieve arXiv paper summaries with progressive fallback to LaTeX source.
npx skills add https://github.com/Shallow-W/llm-wiki --skill alphaxiv-shallow-w
Please help me install this Agent Skill. Skill: alphaxiv Source: https://github.com/Shallow-W/llm-wiki/tree/main/.claude/skills/alphaxiv Command: npx skills add https://github.com/Shallow-W/llm-wiki --skill alphaxiv-shallow-w
Rapidly answers questions about a specific arXiv paper without requiring full manual reading of PDFs.
Ask the AI to summarize a specific paper by providing its arXiv ID, for example: Summarize https://arxiv.org/abs/2401.12345 using AlphaXiv overview first, and fall back if needed.
High-intent search queries and answers about installing and using this skill.
To get an LLM paper summary, provide a bare arXiv ID or arXiv/AlphaXiv URL. The tool parses the ID and retrieves an LLM-optimized AlphaXiv summary using a tiered source fallback system.
The best way to summarize arXiv papers without reading the full PDF is using a tiered fallback system. It retrieves the AlphaXiv overview first, then full markdown, and finally extracts LaTeX source if deeper inspection is required.
You can extract specific details from arXiv LaTeX source files by forcing the source depth tier. This directs the tool to download and inspect the LaTeX source when the overview or abstract markdown lacks the deeper details you need.
Yes, you can use a bare arXiv ID to retrieve a paper summary. The tool parses supported URL formats and bare IDs to fetch the AlphaXiv overview and markdown without requiring a full link.
No, this tool does not support broad literature search across multiple arXiv papers. It is intended for explaining, summarizing, or answering questions about one specific paper from an arXiv or AlphaXiv URL.
You should force a specific depth tier for arXiv paper summarization to match your intent and reduce unnecessary reads. Force the source tier when overview or abstract markdown lacks the required technical details.
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