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 download them in the folder.v1.0.0

A researcher can quickly search and download a batch of related papers by topic and date range, saving hours of manual collection. This supports staying updated on latest findings in fields like machine learning or quantum computing.

Companies can monitor competitor publications by setting a seed paper or topic to pull related arXiv papers, gaining insight into emerging technologies. This helps inform product direction and patent strategy.

Professors can compile a reading list of related papers on a specific topic with controlled time ranges, ensuring course materials are current and relevant. This streamlines syllabus preparation.

An AI startup can programmatically download recent papers on foundation models to benchmark their work and identify collaboration opportunities. This reduces manual effort in tracking fast-moving fields.

Offer as a paid add-on for academic or corporate libraries, providing bulk download and search capabilities with priority support. Revenue comes from monthly or annual subscriptions.

Provide free limited searches (e.g., 5 downloads/day) and charge for higher quotas or advanced features like custom file naming. Revenue from API usage plans.

Integrate this skill into existing research management software (e.g., reference managers) as a premium feature, splitting revenue with the platform partner. Revenue from licensing or revenue share.