Agent SkillsPrismer-AI/Prismer › arxiv-reader

arxiv-reader

GitHub

用于读取和分析arXiv论文,支持获取摘要、章节结构及完整LaTeX源码,便于LLM进行学术文献研究。

docker/plugin/prismer-workspace/skills/arxiv-reader/SKILL.md Prismer-AI/Prismer

Trigger Scenarios

用户提及arXiv或学术论文 提供arXiv ID请求阅读

Install

npx skills add Prismer-AI/Prismer --skill arxiv-reader -g -y
More Options

Non-standard path

npx skills add https://github.com/Prismer-AI/Prismer/tree/main/docker/plugin/prismer-workspace/skills/arxiv-reader -g -y

Use without installing

npx skills use Prismer-AI/Prismer@arxiv-reader

指定 Agent (Claude Code)

npx skills add Prismer-AI/Prismer --skill arxiv-reader -a claude-code -g -y

安装 repo 全部 skill

npx skills add Prismer-AI/Prismer --all -g -y

预览 repo 内 skill

npx skills add Prismer-AI/Prismer --list

SKILL.md

Frontmatter
{
    "name": "arxiv-reader",
    "_source": "Canonical source at \/skills\/arxiv-reader\/SKILL.md",
    "description": "Read and analyze arXiv papers by fetching LaTeX source, listing sections, or extracting abstracts. Use when the user mentions arXiv, research papers, preprints, paper IDs like 2301.xxxxx, or wants to read academic publications."
}

arxiv-reader

Read and analyze arXiv papers directly from the workspace. Converts LaTeX source into clean text suitable for LLM analysis.

Process

  1. Quick look — Use arxiv_abstract to get a paper's abstract before committing to a full read
  2. Survey structure — Use arxiv_sections to understand the paper's outline
  3. Deep read — Use arxiv_fetch to get the full flattened LaTeX for analysis

Tools

  • arxiv_fetch — Fetch full flattened LaTeX source. Params: arxiv_id (required), remove_comments, remove_appendix, figure_paths
  • arxiv_sections — List all sections and subsections. Params: arxiv_id (required)
  • arxiv_abstract — Extract just the abstract. Params: arxiv_id (required)

Example:

{ "arxiv_id": "2301.00001", "remove_appendix": true }

See canonical skill for full tool documentation and parameter details.

Version History

  • 2dbe71f Current 2026-08-20 10:21

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Metadata

Files
0
Version
2dbe71f
Hash
689d38cd
Indexed
2026-08-20 10:21

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