Agent Skills › Prismer-AI/Prismer › hf-papers

hf-papers

GitHub

用于浏览、搜索和分析Hugging Face上的机器学习研究论文。支持获取热门论文、按关键词搜索、查看论文详情及社区讨论，并可结合arXiv工具阅读全文。适用于AI研究探索和趋势发现。

docker/plugin/prismer-workspace/skills/hf-papers/SKILL.md Prismer-AI/Prismer

触发场景

用户想要查找最新的机器学习或AI研究论文用户询问关于特定主题的研究进展用户提到Hugging Face Papers平台

安装

npx skills add Prismer-AI/Prismer --skill hf-papers -g -y

更多选项

非标准路径

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

不安装直接使用

npx skills use Prismer-AI/Prismer@hf-papers

指定 Agent (Claude Code)

npx skills add Prismer-AI/Prismer --skill hf-papers -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": "hf-papers",
    "metadata": {
        "openclaw": {
            "tags": [
                "huggingface",
                "research",
                "academic",
                "papers",
                "trending"
            ],
            "emoji": "🤗",
            "requires": {
                "os": [
                    "darwin",
                    "linux",
                    "win32"
                ],
                "bins": []
            }
        }
    },
    "description": "Browse trending papers, search by keyword, and get paper details from Hugging Face Papers. Use when the user wants to find ML research, asks about recent AI papers, trending models, or mentions Hugging Face Papers."
}

hf-papers

Browse, search, and analyze papers from the Hugging Face Papers platform.

Process

Discover — Use hf_daily_papers to see what's trending today
Search — Use hf_search_papers to find papers on a topic
Inspect — Use hf_paper_detail to get full metadata for a specific paper
Discuss — Use hf_paper_comments to read community discussion
Deep read — Use arxiv_fetch (from arxiv-reader) with the paper's arXiv ID for full text

Tools

hf_daily_papers — Get trending papers. Params: limit (default: 20), sort (upvotes or date)
hf_search_papers — Search by keyword. Params: query (required)
hf_paper_detail — Get paper metadata. Params: paper_id (required, arXiv ID)
hf_paper_comments — Get discussion comments. Params: paper_id (required)