Overview
- Skill Key
- constx1337/arxiv-watch
- Author
- constx1337
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/constx1337/arxiv-watch
- Latest Commit SHA
- 4d06f85005bf6ce3b6ec452687d612be2ffa72bb
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Arxiv Watch 技能。 若已安装,则直接安装 Arxiv Watch 技能。
# ArXiv Watcher Monitor and track new papers on arXiv.org by category. ## Overview This skill helps you: - Fetch latest papers from specific arXiv categories - Generate formatted Markdown summaries - Star/bookmark papers for later reading ## Quick Start ``` # Check latest papers in a category /arxiv-watcher cs.AI # Multiple categories /arxiv-watcher cs.AI cs.CL cs.LG # View starred papers /arxiv-watcher --starred ``` ## Available Categories ### Computer Science (cs.*) | Category | Description | |----------|-------------| | cs.AI | Artificial Intelligence | | cs.CL | Computation and Language | | cs.CV | Computer Vision | | cs.LG | Machine Learning | | cs.NE | Neural and Evolutionary Computing | | cs.RO | Robotics | | cs.SE | Software Engineering | ### Physics (physics.*) | Category | Description | |----------|-------------| | astro-ph | Astrophysics | | cond-mat | Condensed Matter | | hep-ex | High Energy Physics - Experiment | | hep-th | High Energy Physics - Theory | | quant-ph | Quantum Physics | ### Mathematics (math.*) | Category | Description | |----------|-------------| | math.AG | Algebraic Geometry | | math.CO | Combinatorics | | math.DG | Differential Geometry | | math.NT | Number Theory | | math.ST | Statistics Theory | ### Statistics (stat.*) | Category | Description | |----------|-------------| | stat.ML | Machine Learning | | stat.TH | Statistics Theory | Full category list: https://arxiv.org/category_taxonomy ## Commands ### Fetch Latest Papers ```bash python scripts/arxiv_watcher.py fetch <category> [--limit N] ``` Fetches recent papers from arXiv. Outputs Markdown format with: - Paper title and arXiv ID - Authors - Abstract preview (first 200 chars) - Link to full paper ### Star Papers ```bash python scripts/arxiv_watcher.py star <arxiv_id> ``` Adds a paper to starred list for later reference. ### Unstar Papers ```bash python scripts/arxiv_wa...
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