该 Skill 支持基于关键词的学术论文检索，可以设置发表时间范围与数量 并将论文下载到指定目录，帮助用户快速获取目标领域（如大模型）的最新或代表性研究成果。This skill enables keyword-based academic paper retrieval with optional constraints on time range and result size and dow

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name: arxiv-related-papers description: Search and download related arXiv papers by topic plus date range, or from a seed paper title/id. Use when user asks to crawl related papers, collect arXiv articles, or bulk download PDFs into an arxiv folder with structured filenames.

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arXiv Related Papers Downloader

What this skill does

Accepts either:

- topic + time range, or - seed paper (arXiv id or title)

Finds related papers from arXiv API.

Downloads PDF files into arxiv/.

Uses filename format: versionDate-title.pdf, where versionDate is vN_YYYYMMDD.

When to use

Use this skill when the user asks to:

crawl/search related papers by topic;

find related papers from one article;

download arXiv PDFs in batch;

save with a deterministic naming rule.

Required user input

The user must provide one of these modes:

1. Topic mode - topic - start date (YYYY-MM-DD) - end date (YYYY-MM-DD)

2. Seed paper mode - seed arXiv id (preferred) or seed title - optional start date / end date

Optional:

max results (default: 20)

Execution steps

1. Confirm missing parameters with the user. 2. Run the script from workspace root:

# Topic mode
python ./arxiv-related-papers/scripts/download_arxiv.py \
  --topic "graph neural network" \
  --start-date 2024-01-01 \
  --end-date 2024-12-31 \
  --max-results 20
Seed mode by arXiv id
python ./arxiv-related-papers/scripts/download_arxiv.py \
  --seed-id "2401.12345v1" \
  --max-results 20
Seed mode by title
python ./arxiv-related-papers/scripts/download_arxiv.py \
  --seed-title "Attention Is All You Need" \
  --start-date 2018-01-01 \
  --end-date 2024-12-31 \
  --max-results 20

3. Report back: - how many papers were found; - how many PDFs were downloaded; - the output directory path.

Output location and naming

Output dir: ./arxiv/ (auto-created if missing)

File naming rule:

- v1_20240213-Your_Paper_Title.pdf - v3_20231105-Your_Paper_Title.pdf

Notes

The script only uses Python standard library.

If a paper has no PDF link or download fails, it is skipped with a warning.

Existing files are not downloaded again.

The script only uses Python standard library.

If a paper has no PDF link or download fails, it is skipped with a warning.

Existing files are not downloaded again.